Robotics Research toward Next-Generation Human-Robot Networked Systems
science robotics 稿件要求

标题:科学的机器人:突破人类创新极限的未来之路一、科学的机器人简介科学的机器人(Science Robotics)是一本权威的科学期刊,旨在促进机器人领域的学术交流和创新发展。
自2016年创刊以来,该期刊涵盖了机器人技术、人工智能、自动化系统等领域的前沿研究成果,为学术界和工业界的科研人员提供了一扇深入探索科学与技术交汇处的窗口。
二、科学的机器人的深度和广度科学的机器人期刊所涉及的领域非常广泛,包括但不限于生物灵感的智能机器人、医疗机器人、工业机器人、自主导航系统、人机协作、智能传感器等多个方面。
这些领域的研究内容涵盖了机器人的设计、控制、感知、规划、执行等多个方面,对于推动科技创新和改善人类生活具有极其重要的意义。
在生物灵感的智能机器人方面,基于动物行为原理和生物学启发,研究人员模拟了昆虫、鱼类等动物的行为和结构,开发出了一系列具有高度智能的机器人,比如模仿昆虫飞行的微型飞行器、模拟鸟类飞翔的无人机等。
这些研究对于机器人领域的技术进步和科学探索提供了新的思路和方法。
医疗机器人领域的研究则广泛涉及外科手术机器人、康复机器人、辅助生活机器人等多个方向。
通过结合机器人技术和医学知识,研究人员致力于研发更加精准、安全和高效的医疗机器人,以改善医疗卫生领域的治疗水平和服务质量,让患者能够更好地享受到先进技术的帮助。
工业机器人在制造业、能源、交通、农业等各个领域有着广泛的应用,为企业生产效率提升、人工成本降低、生产安全保障等方面做出了巨大贡献。
自主导航系统和智能传感器的应用也为机器人的自主运行、精准感知提供了强大支持。
三、科学的机器人对未来的重要意义科学的机器人的发展不仅意味着机器人技术本身的进步,更蕴含着对整个社会的深远影响。
在未来,医疗机器人将更好地协助医护人员进行手术、康复治疗和护理工作;工业机器人将扮演更重要的角色,为人类工业生产和生活提供更加高效、安全的服务;自主导航系统和智能传感器将助力机器人在各个领域更加准确地执行任务和适应环境变化。
Bio-Inspired Robotics Learning from Nature

Bio-Inspired Robotics Learning from Nature Bio-inspired robotics, also known as biologically inspired robotics, is a field of study that draws inspiration from nature to design and develop robots and robotic systems. By studying the behaviors and mechanisms of living organisms, researchers and engineers aim to create robots that can perform tasks and solve problems in ways that mimic the natural world. This approach has led to the development of robots that can move and adapt like animals, as well as robots that can sense and respond to their environment like plants. The potential applications of bio-inspired robotics are vast, ranging from medical and healthcare to agriculture and exploration.One of the key benefits of bio-inspired robotics is the potential for robots to perform tasks more efficiently and effectively than traditional machines. By mimicking the design and behavior of living organisms, bio-inspired robots can navigate complex environments, manipulate objects with dexterity, and adapt to changing conditions. For example, researchers have developed robotic fish that can swim through water with the same agility and grace as real fish, allowing them to explore underwater environments in ways that traditional underwater vehicles cannot. This ability to mimic natural behaviors and capabilities can open up new possibilities for robotic applications in fields such as search and rescue, environmental monitoring, and infrastructure inspection.Another important aspect of bio-inspired robotics is the potential for robots to interact more seamlessly with the natural world. Traditional robots often struggle to navigate and manipulate in natural environments, such as forests, deserts, or underwater. By drawing inspiration from nature, bio-inspired robots can overcome these challenges and operate more effectively in natural settings. For example, researchers have developed robotic grippers that mimic the structure and function of gecko feet, allowing robots to grip and manipulate objects in a variety of environments without the need for complex mechanical systems. This ability to interact with the natural world more effectively could have significant implications for tasks such as environmental cleanup, wildlife monitoring, and habitat restoration.In addition to their practical applications, bio-inspired robots also have the potential to deepen our understanding of the natural world. By studying and mimicking the behaviors and mechanisms of living organisms, researchers can gain new insights into the principles of biology and ecology. For example, the development of bio-inspired robots has led to new understandings of how animals move and interact with their environment, as well as how plants sense and respond to stimuli. This knowledge can not only inform the design of robots but also contribute to our understanding of the natural world and our ability to protect and preserve it.Despite the many potential benefits of bio-inspired robotics, there are also challenges and limitations to consider. One of the key challenges is the complexity of natural systems and the difficulty of replicating them in robotic form. Living organisms have evolved over millions of years to perform specific tasks in specific environments, and replicating these capabilities in robots is a daunting task. For example, while researchers have made significant progress in developing robots that can mimic the movements of animals, these robots still struggle to match the agility and adaptability of their biological counterparts. Similarly, while researchers have developed robots that can mimic the sensing capabilities of plants, these robots still struggle to match the sensitivity and responsiveness of real plants. Overcoming these challenges will require continued research and innovation in the fields of robotics, materials science, and biology.Another challenge of bio-inspired robotics is the ethical considerations surrounding the use of robots in natural environments. As bio-inspired robots become more capable and prevalent, it will be important to consider the potential impact of these robots on ecosystems and wildlife. For example, the use of bio-inspired robots for environmental monitoring and habitat restoration could have unintended consequences for the organisms and ecosystems they are designed to protect. Similarly, the use of bio-inspired robots for tasks such as agriculture and forestry could raise questions about the ethical treatment of plants and animals. Addressing these ethical considerations will require careful consideration and collaboration between researchers, engineers, and stakeholders in the natural world.In conclusion, bio-inspired robotics has the potential to revolutionize the field of robotics and our relationship with the natural world. By drawing inspiration from nature, researchers and engineers can develop robots that are more capable, adaptable, and environmentally friendly. However, realizing this potential will require continued research and innovation, as well as careful consideration of the ethical implications of bio-inspired robotics. By addressing these challenges and limitations, we can unlock the full potential of bio-inspired robotics and create a future where robots and the natural world can coexist and thrive together.。
1工业机器人的基本知识

dP Q dt Q t
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机器人运动学
雅可比矩阵的应用之一:分离速度控制 T 1 Q q1 q2 qn J P T T 1 当n≠6时,J不是方阵,雅可比矩阵的逆用其伪逆 J J (JJ ) 当采用计算机控制时,把速度表示为位置增量的形式
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机器人本体的材料
制作机器人的材料是多种多样的。选择制作材料时, 主要考虑以下几个方面: 1)材料要能满足机器人的强度和刚度要求; 2)材料的加工工艺性好; 3)材料的稳定性好; 4)材料的密度尽量小; 5)材料的成本尽可能低; 6)机器人的用途。 此外,对于一些特殊环境下的机器人,还要考虑环境 对材料性能的要求和影响。
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输入/输出系统接口:为了与周边系统及相应操作进行联系与应答,还应 有各种通讯接口和人机通信装置。
第七部分—机器人的技术参数
•自由度:机器人所具有的独立运动坐标轴的数目,有时海包括手爪(末端操作 器)的开合自由度。在三维空间中描述一个物体的位姿(位置和姿态)需要6个 自由度。工业机器人的自由度是根据其用途而设计的,可能小于6个自由度,也 可能大于6个自由度。例如,A4020装配机器人具有4个自由度,可以在印刷电路 板上接插电子器件,PUMA562机器人具有6个自由度,可以进行复杂空间曲面的 弧焊作业。 •精度:包括定位精度和重复定位精度。定位精度是指机器人手部实际到达位置 与目标位置之间的差异。重复定位精度是指机器人手部重复定位于同一目标位置 的能力(用标准偏差表示)。 •工作空间:机器人手臂末端或手腕中心所能达到的所有点的集合(包括形状和 大小)。 •最大工作速度:指工业机器人主要自由度上最大的稳定速度,或手臂末端的最 大合成速度。 •承载能力:指机器人在工作范围内的任何位姿上所能承受的最大重量。承载能 力不仅不仅决定于负载的质量,还与机器人运行的速度和加速度有关。
世界知名机器人研究所

世界知名机器人研究所美洲Adaptive Behavior Research GroupCase Western Reserve University Cleveland, OHAerospace Robotics LaboratoryStanford University Palo Alto, CAArtificial Muscle ProjectMIT Artificial Intelligence Laboratory Cambridge, MABerkeley Robotics and Human Engineering LabBerkeley - University of California Berkeley, CABiologically Inspired Robotics LabCase Western Reserve University Cleveland, OHCenter for Automation, Robotics, and Distributed Intelligence-Research Projects Colorado School of Mines Golden, COCenter for Intelligent Systems, Intelligent Robotics LabVanderbilt University Nashville, TNCenter for Medical Robotics and Computer Assisted SurgeryCarnegie Mellon Pittsburgh, PACenter for Robotics and Embedded SystemsUniversity of Southern California Los Angeles, CADeep Submergence LaboratoryWoods Hole Oceanographic Institute Woods Hole, MADynamical & Evolutionary Machine OrganizationBrandeis University Waltham, MAEntertainment Technology Center ProjectsCarnegie Mellon University Pittsburgh, PAField Robotics CenterCarnegie Mellon University Pittsburgh, PAHumanoid Robotics GroupMIT Artificial Intelligence Laboratory Cambridge, MAIntelligent Systems and Robotics CenterSandia National Labs Albuquerque, NMKISS Institute Robotics ProjectsKISS Institute for Practical Robotics Norman, OKLaboratory for Human and Machine HapticsMIT Artificial Intelligence Laboratory Cambridge, MAMachine Intelligence LaboratoryFlorida State University Gainesville FLMIT Leg LaboratoryMIT Artificial Intelligence Laboratory Cambridge, MAMobile Autonomous RobotThe Cooper Union for the Advancement of Science and Art New York, NYMobile Robot LabGeorgia Tech Atlanta, GAMobile Robot LaboratoryGeorgia Institute of Technology Atlanta, GAMobile Robotics LabUniversity of Michigan Ann Arbor, MIMobile Robotics ProgramPenn State Abington Abington, PANASA Jet Propulsion Robotics Lab - LEMUR SystemCalifornia Institute of Technology Pasadena, CANASA Jet Propulsion Robotics Lab - All Terrain Exploration (ATE)California Institute of Technology Pasadena, CANASA Jet Propulsion Robotics Lab - Inflatable Rover TestbedCalifornia Institute of Technology Pasadena, CANASA Jet Propulsion Robotics Lab - Machine Vision Group - Urban RobotCalifornia Institute of Technology Pasadena, CANASA Jet Propulsion Robotics Lab - Robot Work CrewCalifornia Institute of Technology Pasadena, CANASA Jet Propulsion Robotics Lab - Surface Inspection RobotNASA's Jet Propulsion Laboratory Pasadena CAPalo Alto Rehabilitation Research and Engineering LaboratoryStanford University Palo Alto, CARobot Vision LaboratoryPurdue University West Lafayette, INRobotics ProjectsSpace and Naval Warfare Systems Center San Diego, CARobotics Research GroupUniversity of Southern California Los Angeles, CAStanford Robotics LabStanford University Palo Alto ,The Robotics Institute - Index to Robotics Projects UnderwayCarnegie Mellon Pittsburgh, PAUniversity Research Program in RoboticsUniversity of Michigan Ann Arbor MI• MIT媒体实验室:最富盛名的MIT机器人实验室•斯坦福人工智能实验室:斯坦福人工智能实验室•卡耐基*梅隆(CMU)机器人学院:卡耐基*梅隆机器人学院,可能也是目前唯一一个以学院为建制的研究单位欧洲AURORA - Autonomous Mobile Robot for Greenhouse Operations University of Malaga, System Engineering and Automation Department Malaga, SpainAustralian Centre for Field RoboticsUniversity of Sydney Sydney, AustraliaBARt-UH Bipedal Autonomous RobotUniversity of Hannover, Center of Mechatronics Bonn, GermanyCentre for Autonomous SystemsRoyal Institute of Technology Stockholm, SwedenComputer Aided SurgeryTechnische Universität München Munich, GermanyComputer Assisted Surgery RobotInstitut für Medizinische Physik Erlangen, GermanyCooperative Navigation for Rescue RobotsUniversity of Lisbon - Institute for Systems and Robotics Lisbon, PortugalDeming ResearchUniversity of Western Australia Crawiling AustraliaESPRIT III Project RoadRobotUNINOV A, Institute for the Development of New Technologies Monte da Caparica, Portugal Foundation for Rehabilitation Technology (FST)Swiss Foundation for Rehabilitation Technology (FST) Neuchatel, SwitzerlandFRIEND-Functional Robot Arm with User Friendly Interface for Disabled PeopleUniversity of Bremen, Institute of Automation Technology Bremen, GermanyHUDEM - HUmanitarian DEMiningJoint Research Project Not AvailableHuman Machine InteractionRoyal Institute of Technology StockholmHuman Sensing System for Safety Agricultural RobotOkayama University Okayama JapanHumanoid Animation GroupUniversity of Waterloo Waterloo, CanadaInstitute of RoboticsSwiss Federal Institute of Technology Sweden, SwitzerlandInstitute of Robotics and MechatronicsDLR German Aerospace Center Wessling, GermanyIntelligent Autonomous SystemUniversity of Bonn Bonn, GermanyIntelligent Autonomous Systems LaboratoryUniversity of West of England London, UKIntelligent Embedded SystemsMedical University of Lübeck Lubeck, GermanyIntelligent Humanoid WalkingTechnical University of Munich, Munich, GermanyIntelligent Mobility and Transportation Aid for Elderly People Forschungsinstitut Technologie-BehinIntelligent Mobility and Transportation Aid for Elderly People Forschungsinstitut Technologie-Behindertenhilfe Wetter, GermanyIntelligent Robotics Research CentreMonash University Victortia, AustraliaMAKRO sewer inspection robot Fraunhofer Institut Informations Sankt Augustin, GermanyMobile Robot TAUROAachen University of Technology Aachun, GermanyMobile RoboticsUniversity of Auckland Auckland, New ZealandMOBSY Autonomous Mobile SystemUniversity of Erlangen-Nuernberg Erlangen, GermanyNeural Robot Skills (NEUROS)Ruhr-University of Bochum, Institut für Neuroinformatik Bochum, GermanyRehabilitation Robotics BathInstitute of Medical Engineering London, UKResearch and Development on Rehabilitation BioengineeringCentro INAIL RTR (INAIL RTR Centre) Viareggio, ItalyRobot Sheep ShearingUniversity of Western Australia Crawiling AustraliaRobotic Harvesting of StrawberriesDalTech Nova Scotia CanadaRobotic SurveillanceUniversity of Amsterdam Amsterdam, NetherlandsRobotic Systems Lab (RSL)Australian National University Sydney, AustraliaRobotics and Automation ProjectsUniversity of Queensland Victortia, AustraliaRobotics Lab - Multifunctional Autonomous Climbing Robot for Inspection ApplicationsUniversity Carlos III Madrid SpainRobotics LaboratoryTechnion - Israel Institute of Technology, Department of Mechanical Engineering HaifaRobots for the Food IndustryUniversity of Bristol Bristol, UKSkywash, Autonomous RoadsweeperFraunhofer Institut Informations Skywash, Autonomous Roadsweeper Fraunhofer InstitutInformations Sankt Augustin GermanySkywash, Autonomous RoadsweeperFraunhofer Institut Informations Sankt Augustin GermanyThe Computer Vision and Robotics LabTrinity College Dublin, IrelandThe MORPHA ConsortiumJoint Research Project Stuttgart, GermanyTOURBOT - Interactive Touring RobotFoundation for Research and Technology Hellas GreeceWaterloo Aerial Robotics GroupUniversity of Waterloo Waterloo, Canada• Delft Biorobotics Lab 荷兰生物机器人研究实验室:研究方向有双足机器人•瑞士联邦工学院机器人实验室:研究方向有移动机器人,空间机器人•英国布里斯托大学机器人实验室:研究方向有各种仿生机器人,以及生物机械混合体•英国华威大学移动机器人实验室:研究方向有机器人足球,特种救灾机器人•英国牛津大学机器人研究组:研究方向有模式识别,人工智能,机器视觉,移动机器人导航亚洲Bio-Robotics Division, Robotics DepartmentMinistry of International Trade and Industry (MITI) Tokyo, JapanBioproduction Systems EngineeringOkayama University Lab of Agricultural Systems Engineering Okayama, JapanFurusho Laboratory - Human Machine InteractionOsaka University Osaka, JapanHirose and Yoneda Robotics Lab, Department of Mechano-aerospace EngineeringTokyo Institute of Technology Tokyo, JapanHuman Sensing System for Safety Agricultural RobotOkayama University Okayama JapanIntelligent Cooperative Systems LaboratoryUniversity of Tokyo Tokyo, JapanIntelligent Systems InstituteNational Institute of Advanced Industrial Science and Technology I baraki JapanJSK Laboratory - Robot ProjectsUniversity of Tokyo Tokyo, JapanKawamura Laboratory Robotic ProjectsYokohama National University Yokahama, JapanRehabilitation Engineering LaboratoryRitsumeikan University Kyoto, JapanTelerobotics and Control LaboratoryKorean Advanced Institute of Science and Technology Daejeon Korea澳洲Australian Centre for Field RoboticsUniversity of Sydney Sydney, AustraliaDeming ResearchUniversity of Western Australia Crawiling Australia Intelligent Robotics Research CentreMonash University Victortia, AustraliaMobile RoboticsUniversity of Auckland Auckland, New ZealandRobot Sheep ShearingUniversity of Western Australia Crawiling Australia Robotic Systems Lab (RSL)Australian National University Sydney, Australia Robotics and Automation ProjectsUniversity of Queensland Victortia, Australia。
未来机器人,让生活更美好

未来机器人,让生活更美好作者:张金平来源:《发明与创新(学生版)》2011年第01期它们都是机器人。
有的和蔼可亲,有的憨态可掬,有的力大无穷,有的精巧灵活。
形态各异的外表下,藏着的都是一颗“助人为乐”的心。
以下就是几款目前正在研发中、不久的将来就会上岗为我们服务的“助人”机器人。
互动式人体辅助机器人姓名:RIBA出生地:日本理化研究所职业:勤务员,帮助体弱病虚的人自己行走、坐下或者站立。
存在理由:到2030年,仅在美国,65岁以上的人口数量就将达到7100万。
RIBA是唯一被设计来用其有力的手臂带着这些行动不便的人四处活动的机器人。
工作方式:RIBA的胳臂上埋植了一个强力发动机,外加454个传感器,这使它臂力非凡,抱起一个50公斤重的人走动不在话下。
发明人向井敏治和同事希望通过进一步改进,在2011年日本的护理机构对RIBA进行测试时,它的功力还能够大增。
为了给被护理的人一个更加舒适松软的怀抱,有着金属骨骼的RIBA特意“穿”上了一层聚氨酯泡沫做的皮肤。
并且,这个机器人勤务员还有辨别人的面容和声音的本领,当它听到“RIBA,请帮我离开沙发”的指令时,就会照章办事。
唯一拥有机械臂的轮椅姓名:PerMMA出生地:美国匹兹堡大学职业:护士,负责运送脊椎损伤患者并帮助他们进食。
存在理由:今天的美国有430万人离不开轮椅,但却很少有轮椅符合那些身体残障人士的需求。
工作方式:罗里·库珀因一次自行车意外事故受伤而导致身体部分瘫痪,此后的生活中,他亲身感受到了传统轮椅的局限性。
虽然他的手臂仍然行动自如,但他遇见的很多其他残障人士都丧失了上肢活动功能,因此,他决定为他们设计一个更好的轮椅,于是拥有两个机械手臂的PerMMA(个人移动性和操纵设备)诞生了。
用户可以根据自己的活动能力,通过触摸面板、麦克风或者操纵杆来控制PerMMA,从而轻松地处理日常事务,比如烹饪、穿衣和购物等。
目前PerMMA的每个机械臂可以支撑2.24公斤的重量,但库珀希望经过他的改造,将来PerMMA能够举起56公斤重的东西,至于从烤箱中取出烤好的火鸡,或者从炉火上端起一锅意大利面,都是小菜一碟。
英语作文 未来机器人

英语作文未来机器人Title: The Future of Robotics。
In the vast expanse of technological evolution, the trajectory of robotics has been nothing short of remarkable. From the humble beginnings of mechanical contraptions tothe sophisticated AI-driven machines of today, the journeyof robotics has been defined by innovation and progress. As we peer into the horizon of the future, the role of robotsis poised to undergo a profound transformation, ushering in an era of unprecedented possibilities and challenges.First and foremost, it is imperative to acknowledge the pivotal role that artificial intelligence (AI) will play in shaping the future landscape of robotics. With advancements in machine learning algorithms and neural networks, robots are poised to possess cognitive abilities that rival, andin some cases, surpass human intelligence. This cognitive prowess will enable robots to adapt to dynamic environments, learn from experience, and make autonomous decisions—aparadigm shift that will revolutionize industries ranging from manufacturing to healthcare.Moreover, the integration of robotics with other emerging technologies such as Internet of Things (IoT), augmented reality (AR), and blockchain will further enhance their capabilities and functionalities. Through seamless connectivity and interoperability, robots will become integral components of smart ecosystems, orchestrating complex processes with precision and efficiency. For instance, in smart cities, robots equipped with IoT sensors can monitor environmental parameters, optimize traffic flow, and enhance public safety—a testament to thetransformative potential of synergistic technologies.Furthermore, the proliferation of robotics willcatalyze profound socio-economic changes, reshaping labor markets and redefining the nature of work. While there are legitimate concerns about job displacement due to automation, it is essential to recognize the opportunities that robotics present for human augmentation and empowerment. By delegating mundane and hazardous tasks torobots, humans can redirect their efforts towards creative pursuits, innovation, and personal fulfillment. Additionally, the advent of collaborative robots (cobots) that work alongside humans in shared workspaces exemplifies the potential for symbiotic relationships between man and machine.However, amidst the promise of progress, ethical considerations loom large on the horizon of robotic development. As robots assume increasingly autonomous roles in society, questions regarding accountability, transparency, and ethical decision-making become paramount. It is imperative to establish robust regulatory frameworks and ethical guidelines to govern the design, deployment, and usage of robots, ensuring that they uphold fundamental principles of safety, privacy, and human dignity. Moreover, fostering interdisciplinary dialogue and collaboration among technologists, ethicists, policymakers, and stakeholders is essential to navigate the ethical complexities inherent in the intersection of robotics and society.In conclusion, the future of robotics is imbued with immense potential to redefine the contours of human existence, catalyzing unprecedented advancements in productivity, creativity, and well-being. However,realizing this vision necessitates a concerted effort to harness the transformative power of robotics responsibly and ethically. By embracing innovation while upholding core human values, we can navigate the complexities of the robotic revolution and shape a future where man and machine coexist harmoniously, unlocking new frontiers of progress and prosperity.。
AI and Robotics The Dawn of a New Era

AI and Robotics The Dawn of a New Era The rapid advancement of technology has brought about a new era in the fieldof artificial intelligence and robotics. This development has sparked both excitement and concern among people from various walks of life. On one hand, the potential for AI and robotics to revolutionize industries, improve efficiency, and enhance our daily lives is undeniable. On the other hand, there are fears aboutthe impact of these technologies on employment, privacy, and even the very fabric of society. In this essay, we will explore the dawn of this new era, considering both the opportunities and challenges it presents. From a business perspective,AI and robotics offer a plethora of opportunities for innovation and growth. Companies can leverage these technologies to automate repetitive tasks, analyze large volumes of data, and make more informed decisions. This can lead toincreased productivity, cost savings, and the ability to deliver new and improved products and services to consumers. For example, in the manufacturing industry, robots are increasingly being used to handle dangerous or monotonous tasks,leading to a safer work environment for human employees. In the healthcare sector, AI is being utilized to diagnose diseases, personalize treatment plans, and even assist in surgery, ultimately improving patient outcomes. Moreover, theintegration of AI and robotics into everyday life has the potential to enhance convenience and quality of life for individuals. Smart home devices, powered by AI, can learn and adapt to users' preferences, making homes more comfortable andenergy-efficient. In the transportation sector, self-driving cars and drones have the potential to reduce accidents and traffic congestion, while also providing mobility solutions for the elderly and disabled. The possibilities seem endless, and the potential for positive impact is immense. However, as with any major technological shift, there are also significant concerns that accompany the riseof AI and robotics. One of the most prominent issues is the potential impact onthe workforce. As automation and AI continue to advance, there is a legitimatefear that many jobs will become obsolete, leading to widespread unemployment and economic disruption. This has the potential to exacerbate societal inequality and create significant social and political challenges. Furthermore, there are ethical considerations surrounding the use of AI, particularly in decision-makingprocesses that have a direct impact on human lives. Questions about accountability, transparency, and bias in AI systems have yet to be fully addressed, raising concerns about the potential for unintended consequences and misuse of these technologies. Privacy is another major concern in the age of AI and robotics. As these technologies become more integrated into daily life, there is a growing risk of personal data being misused or exploited. From facial recognition technology to smart home devices that constantly listen and record, the potential for privacy violations is a real and pressing issue. Without robust regulations and safeguards in place, individuals may find themselves increasingly vulnerable to surveillance and data breaches. In conclusion, the dawn of the new era of AI and robotics presents a complex and multifaceted landscape. While the potential benefits are vast and exciting, there are also legitimate concerns that must be addressed. Itis imperative that we approach the development and integration of these technologies with caution and foresight, taking into consideration the ethical, social, and economic implications. By doing so, we can work towards harnessing the full potential of AI and robotics while mitigating the associated risks. Only through thoughtful and responsible stewardship of these technologies can we ensure that they truly enhance the human experience and contribute to a better future for all.。
机器人技术路线图:从互联网到机器人(A Roadmap for US Robotics)

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4.1. Architecture and Representations 68
4.2. Control and Planning
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4.3. Perception 69
4.4. Robust, High-Fidelity Sensors
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4.5. Novel Mechanisms and High-Performance Actuators 69
2. Strategic Findings 52
2.1. Principal Markets and Drivers
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2.2. Near-Term Opportunities and Factors Affecting Commercialization 54
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A Roadmap for U.S. Robotics – From Internet to Robotics
May 21, 2009
A Roadmap for US Robotics
From Internet to Robotics
Organized by
Georgia Institute of Technology University of Southern California
Johns Hopkins University University of lvania University of California, Berkeley Rensselaer Polytechnic Institute University of Massachusetts, Amherst
2.5. Human-Robot Interfaces 76
2.6. Communications and Networking 76
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Proceedings of the 35th International Symposium on Robotics (ISR2004), Paris-Nord Villepinte, France, March 23-26, 2004Robotics Research toward Next-GenerationHuman-Robot Networked SystemsSusumu TACHI, Ph.D.Professor, The University of TokyoDepartment of Information Physics & Computing7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 Japanhttp://www.star.t.u-tokyo.ac.jp/Abstract. Research on human-robot systems started as teleoperation and cybernetic prostheses in the 1940's. Teleoperation developed into telerobotics, networked robotics, and telexistence. Telexistence is fundamentally a concept named for the technology that enables a human being to have a real-time sensation of being at a place other than where he or she actually exists, and to interact with the remote environment, which may be real, virtual, or a combination of both. It also refers to an advanced type of teleoperation system that enables an operator at the control to perform remote tasks dexterously with the feeling of existing in a surrogate robot. Although conventional telexistence systems provide an operator the real-time sensation of being in a remote environment, persons in the remote environment have only the sensation that a surrogate robot is present, not the operator. Mutual telexistence aims to solve this problem so that the existence of the operator is apparent to persons in the remote environment by providing mutual sensations of presence. This enables humans to be seemingly everywhere at the same time, i.e., to be virtually ubiquitous. This paper reviews the generation of robots and the prospects of future networked robotics.Keywords: generations of robots, networked robotics, real-time remote robotics (R-Cubed), humanoid robotics project (HRP), telexistence, mutual telexistence, telepresence, virtual reality, retro-reflective projection technology (RPT)1. IntroductionOne of humanity's most ancient dreams has been to have a substitute that can undertake those jobs that are dangerous, difficult or tedious. In primeval times, the dream was realized by utilizing animals, and unfortunately, by using fellowmen as slaves. In some countries, such conditions continued until nearly a hundred years ago.With the advent of robotics and automation technology, and also the progress of computers and electronics in recent years, it has become possible to let automated machinery replace human labor. Robots are expected to replace human work as the only tolerable slave from a humanitarian point of view. The “Human Use of Human Beings” of N. Wiener will be truly realized only when humans make robots to replace them for adverse tasks, supporting an important end in the development and safety of our modern society.The application fields are not limited only to ordinary manufacturing in secondary industry, but have been expanding gradually to mining, civil engineering and construction in the same secondary industry, as well as to agriculture, forestry and fisheries in primary industry.They are expanding also to retailing, wholesaling, finance, insurance, real estate, warehousing, transportation, communications, nuclear power, space, and ocean development, to social work, such as medical treatment, welfare and sanitation, and to disaster control, leisure, household, and other tertiary industry-related fields.Another dream of human beings has been to amplify human muscle power and sensing capability by using machines while reserving human dexterity with a sensation of direct operation. Also it has long been a desire of human beings to project themselves into a remote environment, that is, to have a sensation of being present or existing at the same time in a different place other than the place they really exist, i.e., to become virtually ubiquitous.This dream is now on the way to accomplishment using robots as surrogates of ourselves over networks through technologies such as virtual reality, augmented reality, wearable systems and ubiquitous computing.As this realization progresses our relations with the robot are becoming more and more important. These are called human-robot systems, human-robot interfaces, or human-robot communications, and are also referred to as teleoperation, telerobotics, networked robotics, r-cubed (real-time remoteS.Tachirobotics) or telexistence when robots are remotely placed. These are some of the most undeveloped areas despite being among the most important in robot technology.An example of the human-robot cooperation system, which will play an increasingly important role in the highly networked society of today and the future, as well as topics such as virtual reality and augmented realty for realizing such a system will be presented and intensively discussed.2. Generations of RobotsSince the latter half of the 1960’s, robots have been brought from the world of fiction to the practical world, and the development of the robot is characterized by generations, as in the case of the computer.With the rapid progress of science and technology after World War II, the robot, which had been only a dream, came to realize some human or animal functions, although it had a different shape. V ersatran and Unimate were the first robots made commercially available in 1960, and were introduced to Japan in 1967. They are called industrial robots and can be said to be the First Generation of robots finding practical use.This is considered to have resulted from a combination of two large areas of development after World War II: hardware configuration and control technology for a remote operational type mechanical hand (or manipulator), which had been under research and development for use in the hot radioactive cell of a nuclear reactor, and automation technology for automated machinery or NC machine tools.The term “industrial robot” is said to have originated under the title “Programmed Article Transfer,” which G. C. Devol applied for registration in 1954 and which was registered in 1961 in the United States. It has come into wide usage since the American Mental Market, a U.S. journal, used the expression in 1960. After passing through infancy in the latter half of the 1960’s, the industrial robot reached the age of practical use in the 1970’s.Thus the robot entered an age of prevalence in anticipation of a rapid increase in demand. That is why 1980 is called "the first year of the prevalence of the industrial robot." From a technical point of view, however, the first generation robot that found wide use is a kind of repetition machine, which plays back repeatedly its position and posture instructed in an embedding process before commencement of operation.In essence, it is a composite system of technology based on control techniques for various automated machines and NC machine tools, and design and control techniques of manipulators with multiple degrees of freedom. Naturally, the application area is limited. These robots can be most effectively used in manufacturing processes in secondary industry, especially in material handling, painting, spot welding, etc.In other areas, such as arc welding and assembling, it is necessary to vary actions and to better understand human instructions by using not only knowledge from within, like for the First Generation Robot, but also to acquire external information with sensors. A device that could change its actions according to the situation using a sensor is the so-called Second-Generation sensor-based adaptive robot. It came to prevail gradually in the 1970’s.The non-manufacturing areas of primary industry (agriculture, fisheries, and forestry), secondary industry (mining and construction), and tertiary industry (security and inspection) had so far been excluded from mechanization and automatization, as the older type First and Second Generation robots could not operate in environments that were dangerous and unregulated or unstructured. However, harsh and hazardous environments such as nuclear power plants, deep oceans, and areas affected with natural disasters, are where robots are needed the most as substitutes to humans who risk their lives working there. The Third Generation Robot was proposed to answer these problems.The key to the development of the Third Generation Robot was to figure out a way to enable the robot to work in an environment that was not maintained or structured. The First and Second Generation Robots possess the data of the maintained environment. This means that humans have a grasp of the entire scope of data concerning the environment. This is called the “structured environment.” The factory where first and second generation robots work is an example of the structured environment. All the information concerning the structure of the factory, such as where passages are and how things are arranged, is clear. One can also change the environment to accommodate the robot. For example, objects can be rearranged to where the robot's sensor can recognize them easily.However, there are structured environments that cannot be altered so easily. For example, it is not possible to change the environment in places such as the reactor of a nuclear power plant, objects in the ocean, and areas affected by disasters. Even with full knowledge about the environment, one cannot alter the environment to accommodate robots. In many cases, one cannot determine the vantage points and lighting. Furthermore, one can encounter an “unstructured environment” where humans do not possess accurate data. Nature is also full of environments where humans are totally disoriented.Proceedings of the 35th International Symposium on Robotics (ISR2004), Paris-Nord Villepinte, France, March 23-26, 2004In the development of the Third Generation Robot, one focused on the structuralization of the environment based on available information. Robots conduct their work automatically once the environment was structured, and worked under the direction of humans in an environment that was not structured. This system, called the supervisory controlled autonomous mobile robot system, was the major paradigm of the Third Generation Robot.Thus the Third Generation Robot was able to work in places where humans possessed basic data of the environment but were unable to alter the environment. These robots are engaged in security maintenance in such uncontrollable environments, and could deal with unpredictable events with the help of humans.In Japan, between 1983 and 1991, the Ministry of International Trade and Industry (now Ministry of Economy, Trade and Industry) promoted the research and development of a National Large-Scale Project under this paradigm called “Advanced Robot Technology in Hazardous Environments”. Telexistence played an important role in the paradigm of the Third Generation robots.Fig. 1 Generations of Robots.3. TelexistenceTelexistence (tel-existence) is a technology that enables us to control remote objects and communicate with others in a remote environment with a real-time sensation of presence by using surrogate robots, remote / local computers and cybernetic human interfaces. This concept has been expanded to include the projection of ourselves into computer-generated virtual environments, and also the use of a virtual environment for theaugmentation of the real environment. The concept of telexistence was proposed and patented in Japan in 1980, and became the fundamental guiding principle of the eight-year Japanese National Large Scale Project called "Advanced Robot Technology in Hazardous Environments," which was initiated in 1983 together with the concept of Third Generation Robotics. Through this project, we made theoretical considerations, established systematic design procedures, developed experimental hardware telexistence systems, and demonstrated the feasibility of the concept.Through the efforts of twenty years of research and development in the U.S., Europe and Japan [1-10], it has nearly become possible for humans to use a humanoid robot in a remote environment as if it was an other self, i.e., they are able to have the sensation of being just inside the robot in the remote environment.Our first report [5,7] proposed the principle of the telexistence sensory display, and explicitly defined its design procedure. The feasibility of a visual display with a sensation of presence was demonstrated through psychophysical measurements using experimental visual telexistence apparatus. A method was also proposed to develop a mobile telexistence system that can be driven remotely with both an auditory and visual sensation of presence. A prototype mobile televehicle system was constructed and the feasibility of the method was evaluated.In 1989, a preliminary evaluation experiment of telexistence was conducted with the first prototype telexistence master slave system for remote manipulation. An experimental telexistence system for real and/or virtual environments was designed and developed, and the efficacy and superiority of the telexistence master-slave system over conventional master-slave systems was demonstrated experimentally [11].Fig. 2 Telexistence Surrogate Anthropomorphic Robot (TELESAR) atWork (1988).S.TachiAugmented telexistence can be effectively used in numerous situations. For instance, to control a slave robot in a poor visibility environment, an experimental augmented telexistence system was developed that uses a virtual environment model constructed from design data of the real environment. To use augmented reality in the control of a slave robot, a calibration system using image measurements was proposed for matching the real environment and the environment model [12]. The slave robot has an impedance control mechanism for contact tasks and to compensate for errors that remain even after calibration. An experimental operation in a poor visibility environment was successfully conducted by using a humanoid robot called TELESAR (TELExistence Surrogate Anthropomorphic Robot), shown in Figure 2, and its virtual dual. Figure 3 shows the virtual TELESAR used in the experiment, and Figure 4 shows the master system for the control of both real TELESAR and virtual TELESAR.Experimental studies of tracking tasks demonstrated quantitatively that a human being can telexist in a remote and/or computer-generated environment by using the dedicated telexistence master slave system [11].Fig. 3 Virtual TELESAR at Work (1993).Fig. 4 Telexistence Master (1989).4. R-CubedIn order to realize a society where everyone can freelytelexist anywhere through a network, the Japanese Ministry of Economy, Trade and Industry (METI) together with the University of Tokyo, proposed a long-range national research and development scheme in 1995 dubbed R-Cubed (Real-time Remote Robotics) [13].Figure 5 shows an example of an artist's rendition of a future use of R-Cubed System. In this example, a handicapped person climbs a mountain with his friends using a networked telexistence system.In an R-Cubed system, each robot site includes its local robot's server. The robot type varies from a mobile camera on the low end, to a humanoid on the high end. A virtual robot canalso be a controlled system to be telexisted.Fig. 5 Mountain Climbing using R-Cubed.Each client has a teleoperation system called a cockpit, ranging from an ordinary personal computer system on the low end to a control cockpit with master manipulators and a Head Mounted Display (HMD), or a CA VE Automatic Virtual Environment (CA VE) on the high end. RCML/RCTP (R-Cubed Manipulation Language / R-Cubed Transfer Protocol) is now under development to support the lower end user's ability to control remote robots through a network [13]. To standardize the following control scheme, a language dubbed RCML (), which describes a remote robot's features and its working environment, has been proposed. A communication protocol RCTP has also been designed and developed to exchange control commands, status data, and sensory information between the robot and the user.5. Humanoid Robotics Project (HRP)After a two-year feasibility study called the Human Friendly Network Robot (FNR), which was conducted from April 1996 till March 1998 based on the R-Cubed Scheme, a National Applied Science & Technology Project called “Humanoid and Human Friendly Robotics (HRP)” was launched in 1998. It is a five-year project toward the realizationProceedings of the 35th International Symposium on Robotics (ISR2004), Paris-Nord Villepinte, France, March 23-26, 2004of a so-called R-Cubed Society by providing humanoid robots, control cockpits and remote control protocols.A novel robot system capable of assisting and cooperating with people is necessary for any human-centered system to be used for activities such as the maintenance of plants or power stations, the operation of construction work, the supply of aid in case of emergency or disaster, and the care of elderly people. If we consider such systems from both a technical and a safety point of view, however, it is clearly intractable to develop a completely autonomous robot system for these objectives.The robot system should therefore be realized with the combination of autonomous control and teleoperated control. By introducing telexistence techniques through an advanced type of teleoperated robot system, a human operator can be provided with information about the robot's remote site in the form of natural audio, visual, and force feedback, thus invoking the feeling of existing inside the robot itself [14,15].Fig. 6 Telexistence Cockpit for Humanoid Control (2000).In order to address the problem of narrow fields of view associated with HMD's, a surround visual display using immersive projection technology (as adopted in the CA VE), has recently been developed (Fig. 6). The surround visual display panoramically presents real images captured by a stereo multi-camera system for a wide field of view mounted on the robot, which allows the operator to have the feeling of on-board motion when he or she uses the robot to walk around.V arious teleoperation experiments using the developed telexistence master system confirmed that kinesthetic presentation by the master system through visual imagery greatly improves both the operator's sensation of walking, and dexterity at manipulating objects.If the operator issued a command to move the robot, the robot actually walked to the goal. As the robot walked around, real images captured by a wide field of view multi-camera system were displayed on four screens of the surrounded visual display. This made the operator feel as if he or she was inside the robot, walking around the robot site (Fig. 7).A CG model of the robot in the virtual environment was represented and updated according to the current location and orientation received from sensors on the real robot. The model was displayed on the bottom-right screen of the surround visual display, and by augmenting real images captured by the camera system, it supported the operator's navigation of the robot. Since the series of real images presented on the visual display are integrated with the movement of the motion base, the operator feels the real-time sensation of stepping up and down.This was the first experiment and success of controlling ahumanoid biped robot using telexistence [15].Fig. 7 HRP Humanoid Robot at Work (2000).6. Mutual Telexistence using RPTBy using a telexistence system, persons can control the robot by simply moving their bodies naturally, without using verbal commands. The robot conforms to the person’s motion, and through sensors on board the robot the human can see, hear and feel as if they sensed the remote environment directly. Persons can virtually exist in the remote environment without actually being there.For observers in the remote environment, however, the situation is quite different: they see only the robot moving and speaking. Although they can hear the voice and witness the behaviour of the human operator through the robot, it does not actually look like him or her. This means that the telexistence is not yet mutual. In order to realize mutual telexistence, we have been pursuing the use of projection technology with retro-reflective material as a surface, which we call Retro-reflective Projection Technology (RPT) [16,17,18,19].RPT is a new approach to augmented reality (AR) combining the versatility of projection technology with the tangibility of physical objects. By using RPT in conjunction with an HMP, the mutual telexistence problem can be solved asS.Tachishown in Figure 8: suppose a human user A uses his telexistence robot A' at the remote site where another human user B is present. The user B in turn uses another telexistence robot B', which exists in the site where the user A works. 3-D images of the remote scenery are captured by cameras on board both robots A' and B', and are sent to the HMP’s of human users A and B respectively, both with a sensation of presence. Both telexistence robots A' and B' are seen as if they were their respective human users by projecting the real image of the users onto their respective robots. The first demonstration of RPT together with an HMP was made at SIGGRAPH98, followed by demonstrations at SIGGRAPH99 and SIGGRAPH2000.Fig. 8 Concept of Robotic Mutual Telexistence (adopted from [16]). Fig. 9 Principle of Retro-reflective Projection Technology (RPT).Fig. 10 Head-Mounted Projector.Fig. 11 (A) Miniature of the HONDA Humanoid Robot,(B) Painted with Retro-reflective Material,(C) and (D) Examples of Projecting a Human onto it.(adopted from [16]).Figure 9 shows the principle of Retro-reflective Projection Technology (RPT) and Figure 10 shows a Head-Mounted Projector (HMP) constructed according to RPT [17,18,19].Figure 11 presents an example of how mutual telexistence can be achieved through the use of RPT. Figure 11(A) shows a miniature of the HONDA Humanoid Robot, while Figure 11(B) shows the robot painted with retro-reflective material. Figures 11 (C) and (D) show how they appear to a human wearing an HMP. The telexisted robot looks just like the human operator of the robot, and mutual telexistence can be naturally performed [16]. However, this preliminary experiment was conducted off-line, and real-time experiments are yet to be conducted by constructing and using a mutual telexistence hardware system.7. Toward the FutureThere are two major styles or ways of thinking inProceedings of the 35th International Symposium on Robotics (ISR2004), Paris-Nord Villepinte, France, March 23-26, 2004designing robots. An important point to note here is that these ways of thinking have nothing to do with the forms of robots, such as the distinction between humanoid robots or those with special forms. Other distinctions include those that perform general or specific functions, and those in the shapes of animals or those that are not. These distinctions are indeed important especially when the robots are applied to practical use, and must be considered in practical situations.However, the distinction that is discussed here concerns the philosophy toward robot design per se. The two different ways of thinking concern the question of whether to make "robots as independent beings" or "robots as extensions of humans". Robots as independent beings will ultimately have a will of their own, although that is far off from the stage of development today. Accordingly, commands toward the robots are made through language, such as spoken words, written manuals, or computer instructions.On the other hand, robots as extensions of humans do not have a will of their own. Robots are a part of the humans who command them, and humans are the only ones who possess will. Commands are made automatically according to human movements and internal states, and not through language. Robots move according to the human will.A prime example of robots as extensions of humans is a prosthetic upper-limb or an artificial arm, which substitutes lost arms. Humans move artificial arms as though they moved their own arms. What if one gained an artificial arm as a third arm, in addition to the existing two arms? The artificial arm would move according to the human will and function as an extra arm extending the human ability. The artificial arm, or, a robot as an extension of human, could physically be separate from the human body; it would still move according to the human will without receiving lingual commands. The robot would not have its own will and function as part of the human, even though the robot is physically separated from the human body. This is what can be called"one's other-self-robot". There may be multiple other-self-robots.It is also possible to create an environment where humans feel as if they are inside one's other-self-robots, thereby the human cognizes the environment through the sense organs of the robot and then operates the robot using its effect organs. This technology is known as telexistence. Telexistence enables humans to transcend time and space, and allow them to be virtually ubiquitous.Robots as independent beings must have the intelligence that pre-empts any attempt of the robots to harm humans. That is to say, "safety intelligence" is the number one priority in this type of robot. Isaac Asimov's three laws of robotics, for example, are quite relevant in designing this type of robot. It is crucial to find a solution to make sure that machines would never harm humans by any means.The safety intelligence requires high technology and its innovation will not an easy task. The intelligence must be perfect, as a partially successful safety intelligence would be totally useless. The robots need to possess safety intelligence that even exceeds human intelligence. As Alan M. Turing has argued, this idea was still not relevant in the twentieth century, when autonomous robots could not have true intelligence as humans have. However, inventing the safety intelligence is the most important mission in the twenty-first century as robots are about to enter the everyday lives of humans.On the other hand, there is an alternate approach to this problem. One could argue that the "one's other-self-robots" rather than the "independent robots" should be the priority in development. The other-self-robots are analogous to automobiles. The robots are machines and tools to be used by humans; robots are extensions of humans both intellectually and physically.This approach pre-empts the problem of robots having their own rights, as they remain extensions of humans. Humans therefore need not to be threatened by robots, as the robots remain subordinate to humans. One's other-self-robot therefore is a promising path that humans can follow.Take nursing for example. It is not desirable for a nursing robot that takes care of you to be an independent being. We can protect the patient's privacy the most when it is the patient who is taking care of himself. Accordingly, it is more appropriate if the nursing robot is the other-self-robot, an extension of oneself. The other-self-robot can either help himself or other people. The other-self-robot is more secure than the robot as an independent being, as the rights and the responsibilities associated with the robot are evident in the former type. The right and the responsibility of the robot belong to the humans who own the robot as their other self. Robots cannot claim their own rights or responsibilities.One can nurse himself not only by using his own other- self-robot but also by asking family members and professional nurses to take care of him by using robots. These people, who may live far away from the patient, can use telexistence technology to personify the robot near the patient to help him. One important consideration in using this technology is that through the robot the patient needs to feel as though a person he knows, rather than an impersonal robot, is taking care of him. It is essential that the robot have a "face": a clear marker。