Xiaoyu Zhang
Papers
1
Total Citations
10
H-Index
1
About
Xiaoyu Zhang is an emerging researcher specializing in robotics, with a particular focus on multi-robot systems, motion planning, and loco-manipulation. Their most notable contribution to the field is the development of a task-space decomposed motion planning framework designed to address one of the most technically demanding challenges in collaborative robotics: coordinating multiple robots engaged in simultaneous locomotion and manipulation tasks. When multiple manipulators grasp a shared object, closed-chain kinematic constraints arise, dramatically complicating the motion planning problem. Zhang's framework provides an elegant decomposition strategy that effectively navigates these constraints, offering a meaningful step forward for practical multi-robot coordination. Published in 2021, this work has already garnered 10 citations, signaling growing recognition within the robotics community. Zhang's research sits at the intersection of kinematics, motion planning, and cooperative robotics — areas of increasing importance as autonomous systems become more sophisticated and deployment scenarios more complex. For students and researchers working on robot coordination, manipulation planning, or autonomous systems, Zhang's contributions offer both theoretical insight and practical methodology worth close examination.
Research Focus
Key Achievements
Top Papers
- 1