Workshop on the Future of Robotics Research: Robust Intelligence

机器人研究的未来研讨会：鲁棒智能

• 批准号: 0618454
• 负责人: Yuan Zheng
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0618454&HistoricalAwards=false
• 关键词: Workshop; Future; Robotics; Research; Robust

In the past decade, robotic systems have moved from stand-alone units to more complicatedsystems that exhibit certain capabilities of interactions with human beings and/orenvironments. This development coupling with the recent re-organization of the Informationand Intelligent Systems Division (IIS) of the National Science Foundation (NSF) into acluster-research environment has prompted the necessity of organizing this workshop todiscuss and explore the future research trends of robotics in a cluster-research environment.Specifically, the proposed workshop aims to address this problem with top-down and bottomupapproaches:A) Top-down approach: Given that the IIS/Robotics program will be clustered with otherIIS programs into cluster-research on Robust Intelligence, what are the potentialinnovative research areas that robotics researchers should look into so that futurerobotic systems will exhibit better mobility, intelligence, adaptation, and autonomy?B) Bottom-up approach: Given that many robotics researchers have their individualresearch areas that do not fit into this cluster-research Robust Intelligence theme, whatshould these researchers explore in order to propose more pertinent projects for futureIIS competitions?Intellectual Merits. This workshop will bring together researchers in the roboticscommunity, including the principal investigators (PIs) currently supported by the NSF/IIS, toexplore innovative robotics research areas in this cluster-research Robust Intelligence theme.Researchers will explore the benefits of synergistic integration of robotics, computer vision,artificial intelligence, and other appropriate technical areas into future robotic systems toachieve intelligence and flexibility in reaction to dynamic and changing environments.Broader Impacts. The workshop will have significant and broader impacts on the roboticscommunity. Through the workshop, researchers will broaden their views of future researchfor advancing Robust Intelligence in general, and robotic science and technologies inparticular. Traditional single-PI-focused research areas such as dynamics, kinematics,control, motion planning, actuators, etc. will give way to a cluster of technologies inperception and cognition, and learning and intelligence. Equipped with this new vision,researchers will have better ideas in proposing innovative robotics research to investigatemethodologies and technologies that will provide answers to design and develop futurerobotic systems that exhibit better autonomy, mobility, and intelligence.

在过去的十年中，机器人系统已经从独立的单元发展到更复杂的系统，这些系统表现出与人类和/或设备进行交互的某些能力。随着美国国家科学基金会（NSF）信息与智能系统部（IIS）最近重组为集群研究环境，这一发展趋势促使我们有必要组织这次研讨会来讨论和探索集群研究环境中机器人技术的未来研究趋势。具体来说，拟议的研讨会旨在通过自上而下和自下而上的方法来解决这个问题：A）自上而下的方法：考虑到IIS/机器人计划将与其他IIS计划聚集在一起，对鲁棒智能进行集群研究，机器人研究人员应该研究哪些潜在的创新研究领域，以便未来的机器人系统将表现出更好的移动性，智能，适应性和自主性？B）自下而上的方法：考虑到许多机器人研究人员有自己的研究领域，不适合这个集群研究鲁棒智能主题，这些研究人员应该探索什么，以便为未来的IIS竞赛提出更相关的项目？智力优势。本次研讨会将汇集机器人社区的研究人员，包括目前由NSF/IIS支持的主要研究人员（PI），以探索机器人技术的创新研究领域，在这个集群研究鲁棒智能主题。研究人员将探索机器人技术，计算机视觉，人工智能，和其他适当的技术领域，以实现智能和灵活性，以应对动态和不断变化的环境。该研讨会将对机器人社区产生重大而广泛的影响。通过研讨会，研究人员将拓宽他们对未来研究的看法，以促进一般的鲁棒智能，特别是机器人科学和技术。传统的单一PI研究领域，如动力学，运动学，控制，运动规划，执行器等，将让位于一系列技术，如感知和认知，学习和智能。有了这个新的愿景，研究人员将有更好的想法，提出创新的机器人研究，以调查方法和技术，将提供答案，设计和开发未来的机器人系统，表现出更好的自主性，机动性和智能。