博士论文答辩：多源信息融合驱动的智能制造系统机器人运动规划方法
日期：2025/05/14 - 2025/05/14
博士论文答辩：博士论文答辩：多源信息融合驱动的智能制造系统机器人运动规划方法
主讲人：Bohan Feng, Ph.D. candidate at UM-SJTU Joint Institute
时间：2025年5月14日（周三）上午10:00 - 11:30
地点：龙宾楼403会议室
讲座摘要
As manufacturing evolves from mass production to customization and smartness, robotic systems in manufacturing rise to new challenges—operating in increasingly dynamic, complex, and human-centered settings. This dissertation introduces a multi-source information fusion framework for robot motion planning, seamlessly combining exogenous inputs with endogenous states. Focused on three representative scenarios—decentralized multi-robot logistics, adaptive multi-task planning, and human-robot collaboration—the proposed approaches significantly enhance the robustness, adaptability, and safety of robot motion planning by providing scenario-aware solutions for smart manufacturing.
主讲人介绍
Bohan Feng received his B.S. degree in Computer Science and Engineering from Dalian University of Technology in 2020. He is currently pursuing the Ph.D. degree in Control Science and Engineering at Shanghai Jiao Tong University, under the supervision of Prof. Youyi Bi. His research interests include robot motion planning algorithms and the design of human-robot collaboration systems. He has been awarded the National Scholarship for Doctoral Students and was recognized as an Outstanding Graduate of Shanghai.