2024年10月25日，由中国人工智能学会（CAAI）主办，CAAI 具身智能专委会（筹）承办，上海交通大学协办的具身智能青年学者研讨会第七期将在线举办。研讨会将为该领域的青年学者提供一个交流思想、分享最新研究成果和探讨未来研究方向的平台。

研讨会主题

Exploiting Variable Shapes and Morphologies for Robot Manipulation

Shapes are ubiquitous in nature. They can encode several interesting properties and information, such as, frequencies, trajectories, changes, etc. In robotics, shapes can be used for several purposes, for example, to servocontrol the configuration of deformable bodies, design and command the motion agents with variable morphology, to coordinate the formation of multi-agent systems along parametric curves, etc. In this talk, I will share the research efforts of my group on the development of strategies that utilise different curves to guide the motion of robots. I will begin by presenting our work on visual shape servoing of deformable objects, a problem that has become one of the most active topics in robot manipulation in recent years. I will then show how our efforts in developing a new class of soft-rigid mobile agents with the capability to change its morphology. Other applications of our shape-based control methodology will also be discussed The performance of these methods will be illustrated with several experimental videos.

参与嘉宾

报告人：David Navarro-Alarcon

David received his Ph.D. degree in mechanical and automation engineering from The Chinese University of Hong Kong (CUHK), Hong Kong, in 2014. From 2014 to 2017, he worked as a Postdoctoral Fellow and then a Research Assistant Professor at the T Stone Robotics Institute of CUHK. Since 2017, he has been with The Hong Kong Polytechnic University (PolyU), Hong Kong, where he is currently an Associate Professor with the Department of Mechanical Engineering. His research mostly focusses on problems involving the modelling, planning, learning, and control of robot motion tasks. His research group has produced many fundamental contributions to this field, specifically, in the context of modulating the interaction of robots with delicate/deformable/soft materials. David currently serves as an Associate Editor of the IEEE Transactions on Robotics (T-RO).

主持人：蔡盼盼

蔡盼盼，上海交通大学副教授，博士生导师，2023年获海外高层次青年引进人才。2022年8月加入上海交通大学清源研究院，任长聘教轨副教授，研究领域为人工智能、机器人策略规划、机器人学习、自动驾驶，在机器人期刊IJRR、T-RO、工业自动化期刊TII、机器人会议RSS等发表大量高水平论文。担任机器人期刊IEEE T-RO编委，曾担任机器人会议（ICRA、ISER） 编委，RSS、CoRL、ICAPS等机器人与人工智能会议的程序委员会成员，以及IJRR、TRO、RAL、AURO、RSS、ICRA、IROS、ACC、IJCAI等机器人、人工智能期刊与会议的审稿人。曾在机器人会议RSS主办融合规划与学习研讨会。代表工作曾被纳入柏林工业大学研究生课程。

参与方式

研讨会时间：2024/10/25 周五 10：00

本次研讨会采取腾讯会议线上汇报方式

腾讯会议室：296162300  密码：630773