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ITR: Research and Design of Robot Group Behavior Development

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:
$0.0万
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
项目状态:
已结题
起止时间:
2002-09-01 至 2007-08-31

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中文摘要
翻译
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。
英文摘要
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.
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会议论文
Investigation of User-Interface and Human-Robot Performance for Supernumerary Robots
  • 批准号:
    1934792
  • 项目类别:
    Standard Grant
  • 资助金额:
    $84.87万
  • 财政年份:
    2019
  • 负责人:
    Sanjay Joshi
  • 依托单位:
EAGER: Critical Assessment of Shape Retrieval Tools
NRI-Small: Collaborative Research: Assistive Robotics for Grasping and Manipulation using Novel Brain Computer Interfaces
  • 批准号:
    1208186
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.0万
  • 财政年份:
    2012
  • 负责人:
    Sanjay Joshi
  • 依托单位:
Intent Seeking Algorithms for New Human-Machine Interface
  • 批准号:
    0966963
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.34万
  • 财政年份:
    2010
  • 负责人:
    Sanjay Joshi
  • 依托单位:
国内基金
海外基金
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  • 批准号:
    24ZR1403900
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
Cell Research
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