H. Andy Park
Papers
2
Total Citations
53
H-Index
2
About
H. Andy Park is a leading researcher in humanoid robotics, with a primary focus on whole-body motion planning and control for complex, real-world locomotion. His most influential work centers on enabling humanoid robots to autonomously climb ladders and traverse stair-like structures, a critical challenge for disaster response and industrial applications. Park’s major contributions include the development of a robust, autonomous planning and control framework that integrates multi-limbed locomotion planning with compliance control. This framework, demonstrated on the DRC-Hubo robot, automatically generates collision-free, stable quasi-static trajectories for ladder climbing, a feat that was a key event in the DARPA Robotics Challenge (DRC). His papers, such as "Robust ladder-climbing with a humanoid robot" (33 citations) and "Motion planning and control of ladder climbing on DRC-Hubo" (20 citations), have provided foundational algorithms for the field. By tackling the high-stakes problem of reliable ladder climbing, Park has advanced the practical capabilities of humanoid robots, moving them closer to deployment in hazardous environments where human intervention is risky.
Research Focus
Key Achievements
Top Papers
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