Shengmin Zhang
Papers
1
Total Citations
11
H-Index
1
About
Dr. Shengmin Zhang is a pioneering researcher at the intersection of robotics, artificial intelligence, and sustainable manufacturing, with a primary focus on developing autonomous systems for complex industrial tasks. His most notable contribution is the creation of a groundbreaking NeuroSymbolic task and motion planning architecture for robotic electric vehicle battery disassembly, detailed in his 2023 highly cited work. This research directly addresses the critical challenge of safely and efficiently dismantling used EV batteries—a key bottleneck in the circular economy for electric vehicles. By integrating symbolic reasoning with neural perception, Dr. Zhang’s system enables robots to robustly handle the uncertainties inherent in screw disassembly, achieving explainable and reliable autonomy. His work has already garnered 11 citations, signaling its immediate impact on both academic robotics and industrial applications. Dr. Zhang’s research not only advances the field of explainable AI in robotics but also provides a tangible pathway toward sustainable battery recycling, positioning him as a leading voice in the development of intelligent, eco-conscious manufacturing systems.
Research Focus
Key Achievements
Top Papers
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