Hee-Joo Yeo
Papers
7
Total Citations
80
H-Index
5
About
Hee-Joo Yeo is a pioneer in robotic control systems, with a career spanning from intelligent force regulation to multi-arm coordination. His foundational work in **fuzzy adaptive force control** for industrial manipulators—detailed in his most-cited 1995 paper (22 citations)—established methods to integrate human-like reasoning into position-servo-driven robots, enabling precise force modulation without expensive hardware. Yeo’s major contributions lie in **hybrid control for cooperating robotic arms**, notably solving the complex kinematics of a sawing task using a closed-loop chain approach (1999, 18 citations). By managing a system with a passive joint, he demonstrated how to achieve the necessary mobility and force for practical manufacturing tasks. His impact extends to **supervisory control for multiple robotic systems**, where he introduced a Petri net-type graphical robot language (PGRL) for seamless task coordination (2002, 16 citations). Later work on fuzzy obstacle avoidance for remote-control mobile robots (2011, 11 citations) and underground pipe repair robots (2012) highlights his commitment to real-world applications. With over 80 total citations, Yeo’s research remains a cornerstone for students and engineers exploring intelligent, cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Design of a supervisory control system for multiple robotic systems16 citations · 2002
- 4Fuzzy Control for the Obstacle Avoidance of Remote Control Mobile Robot11 citations · 2011
- 5
- 6Development of a Robot System for Repairing a Underground Pipe3 citations · 2012
- 7