Workshop: Robot Planning in the Real World: Research Challenges and Opportunities

研讨会：现实世界中的机器人规划：研究挑战和机遇

• 批准号: 1349355
• 负责人: Ron Alterovitz
• 金额: $ 4.81万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1349355&HistoricalAwards=false
• 关键词: Workshop; Robot; Planning; Real; World; Workshop; Robot; Planning; Real; World

Planning is one of the key technologies in robotics. Yet, robots are deployed in only a small number of niche areas, and most deployed robots have very minimal planning capability. This workshop discusses how the field of robot planning should progress to make robots deployable more widely, performing more novel tasks and relying less on human supervision. It brings together researchers from robotics, artificial intelligence, and related research disciplines to discuss the state of the art in planning, its use in various robotic applications and current research challenges. By studying planning research across different applications, analyzing planning challenges as part of complete robot architectures, and discussing the interaction of planning with other robot modules (such as perception, control, and user interfaces), the workshop participants will gain new insights into how planning can help robots become more robust and efficient. The workshop consists of invited talks, breakout sessions, panels and a final discussion aiming to converge on the roadmap for the field of robot planning that will be summarized in a report. The report and all presentations will be posted on the workshop website. The workshop is expected to stimulate future research towards robot planning in the real world and have strong potential to enable advances in all areas of robotics, from home assistance to medicine to exploration to manufacturing.

计划是机器人技术的关键技术之一。然而，机器人仅部署在少数利基区域中，大多数部署的机器人的计划能力很小。该研讨会讨论了机器人规划领域应如何进步，以使机器人更广泛地部署，从而执行更多新颖的任务并减少人类监督。它汇集了来自机器人技术，人工智能和相关研究学科的研究人员，以讨论计划中的最新技术，其在各种机器人应用中的使用以及当前的研究挑战。通过研究跨不同应用程序的计划研究，分析计划挑战作为完整的机器人体系结构的一部分，并讨论与其他机器人模块（例如感知，控制和用户界面）的计划相互作用，研讨会参与者将获得新的见解，以帮助计划如何帮助机器人变得更强大和有效。研讨会由受邀的会谈，突破会议，小组讨论和最后的讨论，旨在汇聚在报告中将总结的机器人计划领域的路线图。该报告和所有演示文稿将发布在研讨会网站上。预计该研讨会将刺激对现实世界中机器人规划的未来研究，并具有强大的潜力，可以在机器人技术的所有领域中取得进步，从家庭援助到医学，再到勘探再到制造业。