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Collaborative Research: Mechanical Communication for Multi-agent Systems

Collaborative Research: Mechanical Communication for Multi-agent Systems
协作研究:多智能体系统的机械通信
批准号:
2140036
负责人:
Howard Choset
金额:
$41.67万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-07-01 至 2025-06-30

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英文摘要
Fish swimming in schools could exploit hydrodynamic interactions with neighbor-induced flows. E coli bacteria secrete and push against a surrounding medium using flagella to meander in swarms, and cardiac cells exert forces on their elastic environments to influence cell migration. Each of these multi-agent biological systems provides an example wherein a collective behavior emerges from low-level interactions between similar bodies immersed in a common medium, either fluid or elastic substrate. For example, fish in a school impart momentum (information is transmitted) into their surrounding fluid (information flows) and the neighboring fish feel resultant physical changes that may impact locomotion (information is received). We term the mechanism for information transfer through ambient media mechanical communication. Here, information flow possesses dynamics of its own in the form of environment dynamics. However, it is not clear how individual agents should control their movement to benefit from this mechanical communication. This project will address this challenge through a combination of theoretical analysis and benchtop experiments with mobile robotic vehicles. This project focuses on mechanical communication for articulated robots that actively or passively change their internal shape to simultaneously locomote and communicate. How individual agents within such multi-agent systems tradeoff between locomotion and mechanical communication is a prime motivator of the work. To address this tradeoff, exchange of information will be separated into three key blocks: transmit, receive, and locomote. In doing so, the work seeks to answer how does a system: 1) Locomote to transmit information? 2) Transmit information to induce locomotion? 3) Locomote to receive information? 4) Receive information to induce locomotion? A focus of this work is to understand how mechanical coupling and non-locomoting information exchange impact these questions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Collaborative Research: A Comprehensive Dynamic Search Framework for Asynchronous Multi-Objective Multi-Agent Planning
  • 批准号:
    2120529
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.47万
  • 财政年份:
    2021
  • 负责人:
    Howard Choset
  • 依托单位:
RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse
  • 批准号:
    2140528
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.0万
  • 财政年份:
    2021
  • 负责人:
    Howard Choset
  • 依托单位:
An Expanded Analysis and Design Framework for Robots that Move by Reshaping their Limbs and Bodies
  • 批准号:
    1727889
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.86万
  • 财政年份:
    2017
  • 负责人:
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  • 依托单位:
RI: Medium: Collaborative Research: Closed Loop Perceptual Planning for Dynamic Locomotion
  • 批准号:
    1704256
  • 项目类别:
    Standard Grant
  • 资助金额:
    $77.95万
  • 财政年份:
    2017
  • 负责人:
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  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
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