Papers
7
Total Citations
108
H-Index
4
About
Dr. Ying-Hao Yu is a robotics and automation researcher whose work bridges real-time sensing, intelligent control, and medical applications. His primary research areas include collision-free motion planning, FPGA-based real-time vision systems, and human-robot interaction. Dr. Yu’s most significant contribution is the development of a slice-based heuristic fast marching tree algorithm for industrial manipulators, enabling efficient collision avoidance and path planning—a paper that has garnered 44 citations. His pioneering work on FPGA-accelerated color tracking for multi-robot formation control (37 citations) demonstrated how hardware-level processing can achieve the low-latency visual feedback essential for coordinated robotic teams. Dr. Yu has also explored indoor robot localization using monocular cameras and distance estimation, as well as humanoid service robots for home care applications. More recently, he has extended his expertise into medical robotics, co-authoring a study on 3D-printed phantoms for stereotactic body radiation therapy simulation. His consistent focus on real-time, embedded solutions—from color discrimination to relative distance estimation—has made his work foundational for researchers developing agile, vision-guided robotic systems in both industrial and healthcare settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3FPGA-Based Real-Time Color Tracking for Robotic Formation Control11 citations · 2009
- 4
- 5A new paradigm of ubiquitous home care robot using Nao and Choregraphe4 citations · 2016
- 6A 3D-printed phantom for stereotactic body radiation therapy simulation2 citations · 2024
- 7FPGA based real-time color discrimination design for ubiquitous robots2 citations · 2009