报告题目：Deformable Object Manipulation: An AI Perspective

报 告 人：Shuai Li（芬兰奥卢大学）

报告时间：2025年11月7日（星期五）上午10:00-11:00

报告地点：3号楼601会议室

欢迎各位老师和同学踊跃参加！

自动化科学与工程学院

2025年11月04日

报告摘要：

Deformable manipulation has drawn great attention in robotics, especially for medical applications. But handling deformable objects isn’t easy: their complex, nonlinear behaviors make accurate control a real challenge. To address this, we introduce an online iterative perception policy. This method doesn’t require large-scale training. Instead, it iteratively perceives changes and adjusts control actions on the fly, enabling precise and efficient manipulation. We tested this method in both simulations and real-world settings, comparing it with several advanced control methods. The results show that the proposed method achieves better stability, robustness, and flexibility, regardless of material properties or starting conditions.

报告人简介：

Shuai Li received the bachelor's degree in precision mechanical engineering from the Hefei University of Technology, China, master degree in automatic control engineering from the University of Science and Technology of China, and the Ph.D. degree in electrical and computer engineering from the Stevens Institute of Technology, USA. He is presently a full professor with Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland. His current research interests include dynamic neural networks, robotic networks, machine learning.