Myoung Sam Ko
Papers
8
Total Citations
115
H-Index
5
About
Myoung Sam Ko is a pioneering figure in the field of robotics, whose research has fundamentally advanced the modeling, control, and coordination of robotic manipulators and multi-robot systems. His key contributions lie in parameter estimation, optimal load distribution, and time-optimal motion planning. Ko’s most influential work, "An efficient estimation algorithm for the model parameters of robotic manipulators" (1989, 46 citations), introduced a groundbreaking approach that eliminates the need for prior geometric knowledge or restrictive motions, streamlining the identification of robotic model parameters. He further extended the concept of force ellipsoids to cooperating robots, as seen in his 1993 paper (29 citations), enabling optimal load distribution between dual-arm systems—a critical advancement for collaborative robotics. His work on time-optimal motion for multiple robots along prescribed paths (1995, 12 citations) provided a systematic framework for efficient task execution. Ko also explored neural network-based learning control and time-varying obstacle avoidance, showcasing his versatility. With a career spanning foundational estimation algorithms to multi-robot system design, Ko’s research remains a cornerstone for students and engineers working on robot identification, cooperation, and motion planning.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal load distribution for two cooperating robots using a force ellipsoid29 citations · 1993
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- 5A Robot Motion Planning Method for Time-Varying obstacle avoidance9 citations · 1992
- 6
- 7A comparative model-based analysis and design for multi-robot systems3 citations · 1995
- 8Estimation Algorithms of the Model Parameters of Robotic Manipulators2 citations · 1987