Guan-Zuo Chen
Papers
1
Total Citations
8
H-Index
1
About
Guan-Zuo Chen is a researcher in robotics and humanoid locomotion, with a focus on perception-action coordination and autonomous skill execution. His work centers on developing biped humanoid robots that replicate human-like capabilities, particularly in dynamic, task-oriented environments. A key contribution is his research on eye–hand–leg coordination, which integrates visual perception with motor control to enable robots to perform complex, real-world tasks. His most-cited paper, "PN-WSNA-Based Eye–Hand–Leg Coordination with a FIRA HuroCup Basketball Game" (2012), demonstrates this approach by applying a neural network framework to coordinate a humanoid robot’s limbs during a basketball game, achieving 8 citations. This work highlights his role in advancing robotic dexterity and autonomous decision-making for competitive and assistive applications. Chen’s research has implications for humanoid robotics in sports, rehabilitation, and human-robot interaction, offering foundational insights into how robots can learn and execute coordinated movements. His contributions continue to influence the development of more adaptive and responsive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1