ITR: Research and Design of Robot Group Behavior Development

ITR：机器人群体行为发展研究与设计

• 批准号: 0218927
• 负责人: Sanjay Joshi
• 金额: --
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0218927&HistoricalAwards=false
• 关键词: ITR; Research; Design; Robot; Group

This research aims to further integrate the study of behavior in both animals and robots. The research investigates how rules of animal behavior can be analyzed, quantified, coded, and instantiated in robots. It focuses on individual and group sensorimotor behavior from a developmental perspective using Norway rats (Rattus norvegicus). Robotic rat pups will be built that instantiate sensorimotor rules discovered by careful observation and computational modeling of pups in isolation and in groups at different stages of development. Specific attention will be paid to how these rules change at different stages of development. For the study of behavior, the aim is to use robotic systems to validate rule-based computational models of behavior and generate testable predictions. For robotics, the aim is to transfer information from organisms that start out life as simple sensorimotor systems, but subsequently develop social behaviors, while developing new sensorimotor, learning, and cognitive capabilities. By studying precisely how these capabilities develop, this research will provide additional insight into the emergence of group behaviors in robotics. In the longer run, this research should facilitate the design of group robotic systems that develop greater and greater sensorimotor, learning, and cognitive capabilities over time.

本研究旨在进一步整合动物和机器人的行为研究。该研究调查了如何在机器人中分析、量化、编码和实例化动物行为规则。从发育角度研究挪威大鼠（Rattus norvegicus）的个体和群体感觉运动行为。通过仔细观察和计算建模发现的感觉运动规则，机器鼠幼仔将被构建出来，这些规则是通过孤立的幼仔和处于不同发育阶段的幼仔群体发现的。将特别关注这些规则在不同发展阶段的变化。对于行为研究，目标是使用机器人系统来验证基于规则的行为计算模型，并生成可测试的预测。对于机器人来说，其目标是传递来自生物体的信息，这些生物体最初是简单的感觉运动系统，但随后发展出社会行为，同时发展出新的感觉运动、学习和认知能力。通过精确地研究这些能力是如何发展的，这项研究将为机器人中群体行为的出现提供额外的见解。从长远来看，这项研究应该有助于群体机器人系统的设计，随着时间的推移，这些系统会发展出越来越强的感觉运动、学习和认知能力。