课题基金 / 基金详情

Feedback Control of Highly Dynamic Spatial Locomotion in 3D Bipedal Robots

Feedback Control of Highly Dynamic Spatial Locomotion in 3D Bipedal Robots
3D 双足机器人高动态空间运动的反馈控制
批准号:
1231171
负责人:
Jessy Grizzle
金额:
$40.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

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中文摘要
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英文摘要
This project contributes to the foundations of feedback control through the study of highly dynamic motions for 3D bipedal robots. Intellectual Merit: It is estimated that 70% of the earth's landmass is inaccessible to wheeled or tracked vehicles. This has stimulated interest in the design of robots that use legs as a means of locomotion. With legs, robots can step over obstacles or use sparse footholds (as in ladders). The research conducted under this NSF grant is enhancing the ability to design robots that can function in a wide range of natural environments. In particular, this work focuses on developing feedback control algorithms that will allow bipedal robots to walk, run, and turn rapidly, without stumbling and falling, thereby bringing closer the day when such robots can assist humans, and eventually stand in for them, in situations of extreme danger, such as when responding to a major industrial accident or a fire in a home.Broader Impacts: The research being conducted in this grant is enhancing the interest in STEM subjects, by giving tours of the 3D robotics laboratory to hundreds of students, from grade school through high school. More broadly, the work is being highlighted in the media, informing the public about the excitement of cutting-edge engineering research and how it benefits society.Dissemination: The research conducted in this grant is being published in leading peer-reviewed journals and conferences. The work is also available on public web sites and a YouTube channel, Dynamic Leg Locomotion. Videos from this channel have been featured worldwide on numerous television programs.
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会议论文
Learning-Aided Integrated Control and Semantic Perception Architecture for Legged Robot Locomotion and Navigation in the Wild
Combining Optimization, Machine Learning, and Model Structure to Improve the Robustness and Agility of Modern Bipedal Machines
NRI: Collaborative Research: Unified Feedback Control and Mechanical Design for Robotic, Prosthetic, and Exoskeleton Locomotion
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海外基金
Cortical control of internal state in the insular cortex-claustrum region