Hyoung Sik Choi
Papers
1
Total Citations
4
H-Index
1
About
Hyoung Sik Choi is a robotics researcher whose work focuses on the critical challenge of autonomous navigation in rough terrain, particularly for skid-steered mobile robots. His most cited paper, "Path Tracking Control of a Mobile Robot by Using Dual Estimation Algorithm" (2013, 4 citations), addresses the pervasive problem of wheel slippage—a key obstacle to reliable path tracking in unpredictable environments. Choi’s major contribution lies in developing a dual estimation algorithm that simultaneously estimates robot states and slip parameters, enabling more robust control even as traction conditions vary with trajectory shape. This work is foundational for field robotics applications, including exploration and disaster response, where wheel slip can severely limit mobility and safety. By tackling the dynamic interplay between control and estimation, Choi has advanced the practical deployment of autonomous vehicles in real-world, off-road settings. His research demonstrates a deep understanding of the physical constraints facing mobile robots, offering solutions that improve both traction and braking performance. For students and researchers in robotics, Choi’s work provides a clear example of how sensor fusion and adaptive control can overcome the uncertainties of rough terrain navigation.
Research Focus
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Top Papers
- 1