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嘉宾： 潘佳-香港大学

主题：Autonomous Excavation: Manipulation and Perception of Granular Materials

摘要：

Autonomous excavators are an essential part of the goal of “building the robots that build the world”. One unique problem in autonomous excavation is how to deal with the granular materials like soils and sands, which is seldom studied in robotics. In this talk, we will present our recent work about how to achieve efficient manipulation of soils by optimizing the trajectory of the excavator’s bucket, and how to enable the excavator to be aware of the objects buried in the soils by using a proximity sensing mechanism based on jamming in granular materials.

嘉宾信息：

Jia Pan is currently an associate professor in the Department of Computer Science at the University of Hong Kong. He received his BEng in Control Engineering from Tsinghua University, MEng in Pattern Recognition from the Chinese Academy of Sciences, and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill. His research interests are robotic control and learning with a special focus on the development of autonomous robotic systems for navigation and manipulation.

嘉宾：Jihong Zhu

主题: Deformable Object Manipulation: fundamental challenges and promising applications

摘要：

What makes the manipulation of deformable objects difficult? In this talk, I will discuss some fundamental challenges introduced by object deformation and ways to tackle these challenges in my research. I will also present some of the promising applications of deformable object manipulation in both industrial and domestic settings.

嘉宾信息：

​Jihong Zhu is a lecturer in robotics at the School of Physics, Engineering and Technology, University of York. He was a postdoctoral researcher jointly at Cognitive Robotics, TU Delft and Honda Research Institute, Europe working on assistive robots. He obtained his PhD from the University of Montpellier supported by the H2020 VERSATILE project. He is presently an Associate Editor for IROS, ICRA, and IEEE Robotics and Automation Letters. His main interest is vision-based control and imitation learning applied to robotic manipulation