About

Suhan Park is a leading researcher in humanoid robotics and whole-body control, with a focus on enabling high-degree-of-freedom robots to perform complex, real-world tasks. His work centers on hierarchical quadratic programming (HQP) for task-priority control, continuous task transition, and whole-body manipulation for mobile manipulators and humanoids. Park’s most cited paper (60 citations) introduces a continuous task transition approach for HQP-based controllers, addressing the critical challenge of smooth control input in robots like humanoids and mobile manipulators. He also developed the dual-channel EtherCAT control system for the 33-DOF TOCABI humanoid robot (18 citations) and contributed to the design of the JET humanoid robot (12 citations), targeting industrial and service applications. His research extends to robotic assembly, including contact state estimation using Gaussian mixture models (33 citations) and rigid grasp candidate generation for precise tasks. Park’s work on the DYROS-JET humanoid system and the intuitive tele-existence avatar system for the ANA Avatar XPRIZE finals (8 citations) demonstrates his impact on both foundational control theory and practical robotic systems. With over 200 total citations, his contributions are shaping the future of autonomous and teleoperated robots in unstructured environments.

Research Focus

Key Achievements

8
H-Index
14
Papers
209
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Continuous Task Transition Approach for Robot Controller Based on Hierarchical Quadratic Programming
60 citations · 2019
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Seoul National University of Science and Technology, Seoul National University, Advanced Institute of Convergence Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago