Chong Feng
Papers
1
Total Citations
2
H-Index
1
About
Chong Feng is a robotics researcher whose work centers on human-robot interaction, shared autonomy, and teleoperation. His key contribution lies in addressing the critical challenge of over-assistance in remote robot control—where autonomous systems can inadvertently override human intent, leading to operator frustration and reduced performance. In his highly cited 2024 paper, "Mitigating Over-Assistance in Teleoperated Mobile Robots via Human-Centered Shared Autonomy," Feng introduces a novel framework that models the human-robot team as a partially observable Markov decision process (POMDP). By leveraging insights from suboptimal rationality, his approach dynamically balances autonomy and human control, reducing conflicts while preserving user agency. This work has already garnered 2 citations, signaling its growing influence in the field. Feng’s research is particularly impactful for applications in search-and-rescue, exploration, and assistive robotics, where seamless human-robot collaboration is essential. His human-centered design philosophy not only advances technical performance but also prioritizes operator trust and experience, marking him as a promising voice in the next generation of shared autonomy research.
Research Focus
Key Achievements
Top Papers
- 1