Papers
2
Total Citations
18
H-Index
2
About
Tai Pang Chen is a leading researcher in the field of mobile manipulation and hybrid robotic locomotion, with a focus on enabling robots to operate seamlessly in complex, unstructured environments. His work centers on the integration of wheeled and legged systems, advancing the capabilities of quadrupedal bimanual mobile manipulators. Chen’s major contributions include the development of a novel state estimation framework for hybrid wheeled-legged robots, which fuses multiple sensor inputs to maintain robust tracking during mobile manipulation tasks—a paper that has garnered 12 citations for its foundational impact. He also pioneered a supervised autonomy framework for remote teleoperation, leveraging advanced perception to allow human operators to assist robots in decision-making within unknown environments, earning 6 citations for its practical applications. Chen’s research bridges the gap between autonomous navigation and human-in-the-loop control, with notable achievements in unified odometry for hybrid locomotion that eliminates mode-switching discontinuities. His work is highly influential for students and researchers in robotics, offering scalable solutions for real-world deployment in search-and-rescue, industrial automation, and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2