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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-08-15 至 2016-07-31

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中文摘要
翻译
规划是机器人技术的关键技术之一。然而,机器人只部署在少数利基领域,大多数部署的机器人具有非常小的规划能力。本次研讨会讨论了机器人规划领域应该如何取得进展,使机器人能够更广泛地部署,执行更多新颖的任务,减少对人类监督的依赖。它汇集了来自机器人,人工智能和相关研究学科的研究人员,讨论规划的最新技术,其在各种机器人应用中的应用以及当前的研究挑战。通过研究不同应用程序的规划研究,分析作为完整机器人架构一部分的规划挑战,并讨论规划与其他机器人模块(如感知、控制和用户界面)的交互,研讨会参与者将获得关于规划如何帮助机器人变得更健壮和高效的新见解。研讨会包括邀请演讲、分组会议、小组讨论和最终讨论,旨在集中讨论机器人规划领域的路线图,并将在报告中进行总结。报告和所有演讲将在研讨会网站上发布。预计该研讨会将刺激未来对现实世界中机器人规划的研究,并具有强大的潜力,可以在机器人的所有领域取得进展,从家庭辅助到医学,从探索到制造。
英文摘要
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.
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会议论文
NSF-BSF: RI: Small: Provably High-Quality Robot Inspection Planning - Theory and Application
XPS: FULL: DSD: Parallel Motion Planning for Cloud-connected Robots
CAREER: Toward Automating Surgical Tasks
SHB: Small: Computing Robot Motions for Home Healthcare Assistance
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