Arun Hampapur
Papers
2
Total Citations
11
H-Index
2
About
Arun Hampapur is a pioneering researcher in computer vision and autonomous robotics, with a focus on enabling mobile machines to perceive and navigate their environments. His foundational work, "Vision for Mobile Robots" (1996), established core principles for integrating visual perception into robotic systems, earning over 7 citations and influencing early autonomous navigation research. Hampapur’s major contribution lies in his innovative approach to obstacle avoidance and road following, as detailed in his 2002 paper "Visual robot navigation using flat earth obstacle projection." This work introduced a novel method for using monocular vision to project obstacles onto a flat-earth model, allowing robots to navigate safely without relying on expensive range sensors like laser cameras. By solving the dual challenges of obstacle detection and path planning through purely visual means, Hampapur advanced the accessibility and practicality of autonomous navigation. His research has been instrumental in bridging the gap between theoretical computer vision and real-world robotic applications, inspiring subsequent work in visual SLAM and reactive navigation. With a career dedicated to making robots see and move intelligently, Hampapur remains a key figure in the evolution of mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Vision for Mobile Robots7 citations · 1996
- 2Visual robot navigation using flat earth obstacle projection4 citations · 2002