Bohan Feng
Papers
10
Total Citations
87
H-Index
5
About
Bohan Feng is a leading researcher in robotics and intelligent manufacturing, whose work centers on safe human-robot collaboration, soft robotics, and autonomous motion planning. His major contributions include pioneering a co-evolution approach for industrial human-robot interaction that integrates human digital twins with mixed reality, enabling continuous improvement of both human safety cognition and robot planning strategies. He has also developed adaptive multi-RRT motion planning algorithms and intelligent spinal soft robots with self-sensing adaptability, achieving bio-inspired compliance and intuitive human drag teaching. His research on precedence-constrained multi-agent task assignment and path finding addresses critical challenges in smart factory logistics. With over 85 citations across his top papers, Feng’s impact is evident in high-impact venues and his 2025 works on safe motion planning and Bayesian optimization-enhanced reinforcement learning. His notable achievements include advancing zero-shot robot tool manipulation via modular vision-language models and decentralized multi-agent path planning through imitation learning, positioning him as a key innovator in next-generation manufacturing robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2An adaptive multi-RRT approach for robot motion planning18 citations · 2024
- 3An intelligent spinal soft robot with self-sensing adaptability17 citations · 2024
- 4A Soft Collaborative Robot for Contact‐based Intuitive Human Drag Teaching11 citations · 2024
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