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RI: Small: Collaborative Research: Why is Automating the Design of Robot Controllers Hard, and What Can Be Done About It

RI: Small: Collaborative Research: Why is Automating the Design of Robot Controllers Hard, and What Can Be Done About It
RI:小型:协作研究:为什么机器人控制器的自动化设计很难,以及可以采取什么措施
批准号:
1527436
负责人:
Dylan Shell
金额:
$22.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-15 至 2019-07-31

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中文摘要
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英文摘要
This project seeks to bring together new techniques for filtering and planning to improve reasoning and analysis steps employed during robot design.By understanding those parts of the design process that are typically conducted by hand and by asking which parts can be practically automated, the research has the potential to assist practitioners by scaling up the problems tackled, optimizing systems automatically, and ultimately freeing designers from low-level detail and elevating their use of time.
期刊论文(1)
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会议论文
Cover Combinatorial Filters and Their Minimization Problem
涵盖组合滤波器及其最小化问题
DOI: 10.1007/978-3-030-66723-8_6
发表时间: 2020
期刊: Workshop on the Algorithmic Foundations of Robotics
影响因子: --
作者: [Zhang, Yulin, Shell, Dylan A.]
通讯作者: Shell, Dylan A.
The 14th International Workshop on the Algorithmic Foundations of Robotics (WAFR'20) Student Travel Awards
Collaborative Research: EAGER: Foundations of Secure Multi-Robot Computation
S&AS: FND: COLLAB: Planning Coordinated Event Observation for Structured Narratives
CAREER: Bridging Self-Organized and Algorithmic Approaches to Multi-Robot Systems
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海外基金
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