Yuntian Huang
Papers
2
Total Citations
7
H-Index
2
About
Yuntian Huang is a researcher in assistive robotics, with a focused expertise in collision detection and safety systems for robotic manipulators. Their major contributions center on developing reliable, real-time collision detection mechanisms that enhance the safe operation of assistive robots, particularly for human-robot interaction environments. Huang’s foundational work, including the 2010 paper "A Collision Detection System for an Assistive Robotic Manipulator" (4 citations) and its 2011 follow-up "Safety Design and Realization of an Assistive Robotic Manipulator Based on Collision Detection" (3 citations), established practical frameworks for integrating safety into robotic design. These studies address critical challenges in assistive technology, where robots must operate near humans without compromising safety. While the citation counts are modest, Huang’s research represents early, foundational steps in a niche area that has since grown in importance with the rise of collaborative robotics. Their work is particularly notable for bridging theoretical collision detection algorithms with real-world implementation, offering a blueprint for safer assistive devices. Huang’s contributions are valuable for students and researchers exploring human-robot safety, demonstrating how targeted, application-driven research can inform the design of more trustworthy assistive systems.
Research Focus
Key Achievements
Top Papers
- 1A Collision Detection System for an Assistive Robotic Manipulator4 citations · 2010
- 2