Shyang‐Lih Chang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Shyang-Lih Chang is a researcher specializing in machine vision and autonomous robotic navigation. His most cited work, "Machine-vision based obstacle avoidance system for robot system" (2013), introduces a cost-effective approach to real-time obstacle detection and path planning using a single camera paired with two laser projectors. This system enables robots to navigate unknown environments without relying on expensive multi-sensor arrays, making autonomous navigation more accessible. While his citation count reflects a focused, early-career impact, the paper demonstrates a practical contribution to embedded vision systems and low-cost robotics. Dr. Chang’s work is particularly valuable for students and engineers developing entry-level autonomous platforms, as it balances algorithmic simplicity with functional robustness. His research underscores the potential of minimalist sensor configurations in overcoming real-world navigation challenges, offering a foundation for further innovation in mobile robotics and computer vision applications.
Research Focus
Key Achievements
Top Papers
- 1Machine-vision based obstacle avoidance system for robot system4 citations · 2013