講座主題：Robotic Intelligence for Human-robot Co-existence
專家姓名：蘇航
工作單位：米蘭理工大學(xué)
講座時間：10月11日17:00—17:30
講座地點：科技館6205
主辦單位：煙臺大學(xué)計算機與控制工程學(xué)院
內(nèi)容摘要：
Dedicated to overcoming the main challenges in the human-machine coexistence scenario, Dr. Su has proposed innovative solutions and achieved promising results in multimodal perception, human-robot interaction, and robot control areas. His team proposed safety enhancement and multi-modal feedback solutions for human-robot interaction, overcoming the limitations of existing methodologies and validating the solutions using experiments in a lab setup environment. The proposed solution establishes an immersive bilateral teleoperating system with multi-modal interaction. He also proposed a general whole-body geometry-based human-robot skill transfer method. This provides a general human-like control solution for redundant robot manipulators. To provide novel theoretical frameworks and to guarantee the performance of human-machine coexistence systems, his research aims to study multi-modal perception and human-robot interaction strategies for robots in complex environments.
主講人介紹：
Dr. Hang Su received the B.Sc. degree in Automation in Yantai University, in 2012 and M.Sc. degree in control theory and control engineering in South China University of Technology, Guangzhou, China, in 2015 and the Ph.D. degree in Bioengineering from Politecnico di Milano, Milano, Italy, in 2019. He is currently an Associate Editor of Frontiers in Neurorobotics and Frontiers in Neuroscience. He serve as a Program Chair of IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2022/2021). He also severs as the Associate Editor for the IEEE International Conference on Robotics and Automation (ICRA) and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), the IEEE International Conference on Robot and Human Interactive Communication (Ro-man) and the IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), and the Guest Associate Editor for a couple of journals.
He has published over 90 papers in international journals and conferences, He was a recipient of the Outstanding Interaction Paper Award on the IEEE International Conference on Robotics and Automation 2022 (ICRA 2022), the 2021 Andrew P. Sage Best Transactions Paper Award onIEEE Transactions on Human-Machine Systems, the Best Conference Paper Award in Advanced Robotics at the IEEE International Conference on Advanced Robotics and Mechatronics in 2020, and the ICRA Travel Award funded by the IEEE Robotics and Automation Society in 2019. His main research interests include control and instrumentation in medical robotics, human-robot interaction, sensor fusions, deep learning, bilateral teleoperation, etc.
