Papers
12
Total Citations
412
H-Index
6
About
Mo Qu is a leading researcher in robotic and human-robot collaborative disassembly, with a particular focus on advancing automation for remanufacturing and the circular economy. His work addresses one of manufacturing's most pressing challenges: reducing the labor intensity and economic barriers of disassembly processes for end-of-life products. Qu's most influential contributions include pioneering experimental human-robot collaborative disassembly cells (127 citations) and developing methods for robotic unfastening of threaded fasteners (94 citations), tackling tasks long considered too complex for automation. His case studies in press-fitted component disassembly (85 citations) have been instrumental in demonstrating flexible semi-autonomous approaches capable of handling the unpredictability inherent in returned end-of-life products. More recently, Qu has turned his attention to electric vehicle battery disassembly, a critically important area as EV adoption accelerates globally, contributing both platform demonstrations and comprehensive technology reviews. He has also advanced the application of reinforcement learning for robotic disassembly skill acquisition, enabling data-driven, adaptive robotic systems. With over 400 cumulative citations, Qu's research sits at the intersection of robotics, sustainability, and advanced manufacturing, making him an important voice shaping how industry will handle the growing challenge of product end-of-life processing.
Research Focus
Key Achievements
Top Papers
- 1An experimental human-robot collaborative disassembly cell127 citations · 2021
- 2Unfastening of Hexagonal Headed Screws by a Collaborative Robot94 citations · 2020
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