Papers
7
Total Citations
59
H-Index
5
About
Ho Jin Choi is a leading researcher in the intersection of robotics, control systems, and human-robot interaction. His work primarily focuses on developing intelligent control strategies for complex robotic systems, including mobile inverted pendulums, humanoid balancing robots, and tele-operated systems. A major contribution is his pioneering use of neural network-based Smith predictors to compensate for time delays in tele-operation, a critical issue for remote robot control, as demonstrated in his 2009 paper (16 citations). He also advanced robust control for mobile inverted pendulum robots using RBF neural networks (12 citations) and introduced the innovative "BalBot V" humanoid balancing robot, which combines a humanoid with a mobile inverted pendulum for dynamic tasks like boxing games (10 citations). More recently, Choi has ventured into brain-computer interfaces, exploring EEG-based motor intention detection for real-time robot assistive control (2024, 7 citations), and dynamic grasping using Gaussian Process Distance Fields and SE(3) equivariant networks (2024, 4 citations). With over 59 citations across his most-cited works, Choi’s research consistently pushes the boundaries of autonomous and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7