In-Chan Choe
Papers
1
Total Citations
6
H-Index
1
About
In-Chan Choe is a robotics researcher whose work focuses on autonomous navigation, collision avoidance, and soft-computing algorithms for mobile robots. His most cited paper, “Collision-Avoidance and Optimal Path Planning of Autonomous Mobile Robot using Soft-Computing” (2010, 6 citations), introduces a novel algorithm combining micro-genetic algorithms (micro-GA) with λ-geometry multi-resolution analysis (MRA) to enable robots to find optimal, collision-free paths in dynamic environments. This work addresses the growing need for autonomous systems that can adapt to changing workspaces, demonstrating practical simulation results in a 320×200 cm grid. Choe’s contributions lie in integrating evolutionary computation with geometric path planning, offering a computationally efficient approach to real-time robot navigation. While his citation count is modest, his research provides foundational insights into soft-computing techniques for mobile robotics, particularly in obstacle avoidance and shortest-path optimization. His work is relevant for students and researchers exploring bio-inspired algorithms, autonomous systems, and intelligent control, highlighting the potential of hybrid soft-computing methods to enhance robot autonomy in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1