报 告 内 容 简 介 |
报告人简介:
苏春翌,男,高等研究院智能机器人与机电系统研究所首席科学家,加拿大康考迪亚大学研究讲席教授,博士生导师,主要从事机器人控制及精密机电系统控制的理论及应用研究,近年来主持过国家自然科学基金重点项目、863计划等课题。曾被评为中国教育部“长江学者”讲座教授, 获日本学术振兴协会(JSPS) Invitation Fellowship。曾任控制领域的顶级期刊《IEEE Trans. on Automatic Control》,《IEEE Trans. on Control Systems Technology》等刊物的副主编。现任《IEEE Trans. on Cybernetics》及机电学科的权威期刊《Mechatronics》在内的20余部国际刊物副主编及编委,是IEEE 机器人与自动化协会杰出演讲者,被科睿唯安列为2019及2020年高被引学者。
报告内容简介: The biggest feature of soft robots is that it is made of flexible materials. It can arbitrarily change its shape within a maximum range, to reach many places beyond the conventional robots to achieve, for example, detection. They have extensive potentials in the field of pipeline inspection, medical diagnosis, etc. This talk is intended to discuss state-of-the-art solutions for modeling and control techniques of soft robots.
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