Ming-Kang Chuang

Papers

Total Citations

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About

Ming-Kang Chuang is a robotics researcher whose work centers on autonomous navigation and computer vision, with a particular focus on enabling mobile robots to perceive and move through complex environments. His most-cited contribution, "Autonomous mobile robot navigation using stereovision" (2005, 7 citations), introduces a system that leverages binocular imaging to construct local 3D maps of the surroundings. By minimizing artificial potential energy on these maps, the robot can plan relay positions and approach paths, effectively bridging perception and motion planning. This approach demonstrates a practical method for real-time obstacle avoidance and pathfinding without relying on pre-mapped environments. Chuang’s work contributes to the foundational challenges of autonomous robotics—specifically, how to translate raw visual data into actionable navigation strategies. While his citation count reflects a niche but focused impact, his research offers a clear, implementable framework for stereovision-based navigation, making it a useful reference for students and engineers developing low-cost, vision-driven robotic systems.