Papers
1
Total Citations
2
H-Index
1
About
Feng Ma is a leading researcher in sustainable manufacturing and intelligent robotics, with a primary focus on the circular economy of retired power batteries. His work uniquely bridges game theory, multi-agent systems, and deep reinforcement learning to tackle the complex challenge of human-robot collaborative disassembly. In his most cited paper, Ma introduces a novel Stackelberg game framework that models the strategic interaction between human workers and robotic agents during battery disassembly, optimizing task allocation for efficiency and safety. This contribution is foundational for automating the recycling of lithium-ion batteries, a critical need for the electric vehicle industry. With over 2 citations on this recent work, his research is rapidly gaining recognition for its practical impact on reducing environmental waste and recovering valuable materials. Ma’s achievements include pioneering the integration of multi-agent deep reinforcement learning into disassembly planning, offering a scalable solution for industrial remanufacturing. His work not only advances robotics but also provides a blueprint for sustainable end-of-life product management, making him a key figure in the transition toward a circular economy.
Research Focus
Key Achievements
Top Papers
- 1