Meng‐Hsuan Ho
Papers
1
Total Citations
6
H-Index
1
About
Meng‐Hsuan Ho is a researcher in robotics and computer vision, with a primary focus on real-time object recognition and autonomous localization for humanoid robots. His most notable contribution is the development of an efficient vision system for humanoid soccer robots competing in the RoboCup humanoid league, where his work enabled robots to recognize objects, establish coordinates, and localize themselves in dynamic environments. This system, detailed in his 2010 paper, integrates object recognition, self-localization, and tactical decision-making into a cohesive framework, addressing critical challenges in real-time perception for autonomous agents. While his citation count is modest—with his top-cited work garnering 6 citations—his research has practical significance in the RoboCup community, where robust vision systems are essential for competitive performance. Ho’s work exemplifies the application of computer vision to real-world robotics, particularly in scenarios requiring rapid environmental interpretation and adaptive behavior. His contributions support the broader goal of advancing humanoid robot autonomy, making his research relevant to students and engineers interested in vision-based navigation and robotic soccer.
Research Focus
Key Achievements
Top Papers
- 1