课题基金 / 基金详情

U.S.-France Cooperative Research: Nonlinear Control for Biped Walking Robots

U.S.-France Cooperative Research: Nonlinear Control for Biped Walking Robots
美法合作研究:双足步行机器人的非线性控制
批准号:
9980227
负责人:
Jessy Grizzle
金额:
$1.28万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2004-08-31

项目摘要

项目成果

Jessy Grizzle的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
9980227GrizzleThis three-year award for U.S.-France cooperative research in electrical and communication systems involves Jessy Grizzle, a graduate student from the University of Michigan, Claude Moog, Christine Chevallereux of the Institut de Recherche de Cybernetique, Nantes, France, and Franck Plestan of the University Louis Pasteur. The project, supported under a program of the National Science Foundation and the French National Center for Scientific Research (CNRS), will facilitate collaboration on automatic control of biped-walking robots. The investigators will focus on issues related to analytical methodology for designing these robots. The research builds on previous mathematical analysis of a periodic walking cycle of an under actuated, five degree of freedom biped robot, consisting of two rigid legs and a torso, but no knees. This research will extend the analysis to design of asymptotically stable walking motions for an under actuated, seven degree of freedom biped robot. It takes advantage of access to a 1.425 m biped robot, complete with a torso and knees, that has been developed by the French team.The U.S. investigator brings to this collaboration expertise in nonlinear control analysis and design. This is complemented by the experience and experimental testbed of the French team. The studies will advance our understanding of the analytical methodology involved in nonlinear control of robots and its potential for improving locomotion in rough terrain and uses in prosthesis development and testing.
期刊论文(0)
专著(0)
科研奖励(0)
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
海外基金