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金沙贵宾会官方0029|首页交叉科学论坛国家工程研究中心活动月

讲座编号:jz-yjsb-2022-y028

讲座题目:Soft Sensors and Microrobots: Bridging Natural Biological Systems with Artificial

主 讲 人:Xinyu Liu Percy Edward Hart Professor University of Toront

讲座时间:2022年630日(星期14:30

讲座地点:腾讯会议,会议ID:561 711 978

参加对象:电商与物流金沙贵宾会官方0029、计算机金沙贵宾会官方0029、信息及交叉学科相关教师,研究生

主办单位:电商与物流金沙贵宾会官方0029、计算机金沙贵宾会官方0029、农产品质量安全追溯技术及应用国家工程研究中心、科研院、研究生院

主讲人简介:

Xinyu Liu is the Percy Edward Hart Professor in the Department of Mechanical and Industrial Engineering, University of Toronto (U of T). He completed an NSERC Postdoctoral Fellowship in the Department of Chemistry and Chemical Biology at Harvard University in 20092011. At U of T, his research activities primarily focus on microfluidics, bioMEMS, and micro/nanorobotics, with applications in medicine and biology. He received numerous international and national research awards, including 8 best paper awards at major engineering and biomedical conferences. He serves as the Corresponding Chair of the IEEE-RAS (Robotics and Automation Society) Technical Committee for Micro and Nano Robotics and Automation, a Senior Editor of IEEE Robotics & Automation Letters, a Specialty Chief Editor of Frontiers in Robotics and AI. He is an elected Fellow of ASME and CSME.

主讲内容:

In the past decades, significant efforts have been spent on developing soft sensors, electronics, and robots for more efficient and seamless interactions between human and engineering systems. In addition, natural biological systems have also provided enormous inspirations for novel biomimetic designs of soft robots. My research group at University of Toronto is working at the interface of soft/stretchable sensors, electronics, and robotics. In this talk, I will describe our recent work on developing hydrogel-based artificial ionic skins with multimodal sensation and introduce our progress on optogenetic locomotion control. Experimental results and demonstrations will be presented to showcase how the hydrogel-based ionic skins have been used for wearable sensing, human-machine interaction, and soft robotics. Finally, the future work along these directions will be briefly

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