Zheng Qu
Papers
1
Total Citations
12
H-Index
1
About
Zheng Qu is a roboticist whose work focuses on the intersection of motion planning, control, and human-robot collaboration. His research addresses the fundamental challenge of enabling robots to perform complex, coordinated tasks—particularly those requiring bimanual manipulation—in cluttered and dynamic environments. Qu’s most cited work, "Coordinated Motion Generation and Object Placement: A Reactive Planning and Landing Approach" (2021, 12 citations), tackles the difficult problem of how a dual-arm robot can simultaneously plan its own movement and decide where to place an object, all while reacting to obstacles in real time. This reactive planning and landing framework is a significant contribution to the field, as it moves beyond traditional, pre-computed motion plans toward more adaptive, human-like behavior. By drawing inspiration from how humans use two hands to accomplish tasks, Qu is helping to bridge the gap between rigid automation and fluid, intelligent manipulation. His work has direct implications for manufacturing, logistics, and assistive robotics, where robots must work safely and efficiently alongside people.
Research Focus
Key Achievements
Top Papers
- 1