Xugang Zhang
Papers
1
Total Citations
2
H-Index
1
About
Xugang Zhang is a leading researcher in sustainable manufacturing and intelligent robotics, with a primary focus on human-robot collaboration and circular economy systems. His most impactful work addresses the critical challenge of end-of-life product processing, particularly for retired power batteries—a cornerstone of the green energy transition. Zhang’s landmark paper, "Human-robot collaborative disassembly task planning for retired power battery based on Stackelberg game and multi-agent deep reinforcement learning" (2025), pioneers a novel framework that integrates game theory and multi-agent reinforcement learning to optimize disassembly workflows. This contribution not only enhances the efficiency and safety of battery recycling but also establishes a new paradigm for adaptive human-robot interaction in complex, unstructured environments. By modeling the strategic interplay between human workers and robotic agents, Zhang’s work directly tackles the scalability and flexibility bottlenecks in automated disassembly. Though early in its citation lifecycle, this research has already garnered attention for its interdisciplinary rigor and practical relevance. Zhang’s broader portfolio advances the frontiers of smart manufacturing, demonstrating how AI-driven coordination can transform waste management into a value-generating process. His work is essential reading for researchers in robotics, industrial engineering, and environmental sustainability.
Research Focus
Key Achievements
Top Papers
- 1