Guangyao Liang
Papers
1
Total Citations
3
H-Index
1
About
Guangyao Liang is a rising researcher in humanoid robotics, with a focused expertise in human-robot interaction (HRI) and multi-robot collaboration. His most cited work, "Multi-Humanoid Robot Arm Motion Imitation and Collaboration Based on Improved Retargeting" (2025), addresses a fundamental challenge in the field: enabling robots to fluidly imitate human motion despite profound differences in anatomy, joint torque, and range of motion. By developing an improved retargeting algorithm, Liang’s research bridges the gap between human biomechanics and robotic kinematics, allowing multiple humanoid robots to not only mimic human arm movements but also collaborate on shared tasks. This work has already garnered early citations, signaling its practical relevance for manufacturing, assistive robotics, and teleoperation. Liang’s contributions are particularly notable for tackling the real-world constraints of multi-agent systems, where coordination and safety are paramount. As a young scholar, his research lays critical groundwork for more intuitive and scalable human-robot teams, promising to make robots more adaptable partners in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1