Anoop Velayudhan
Papers
1
Total Citations
5
H-Index
1
About
Anoop Velayudhan is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous systems. His most cited paper, "An Autonomous Obstacle Avoiding and Target Recognition Robotic System Using Kinect" (2014), demonstrates a pioneering integration of low-cost depth-sensing technology with real-time navigation and object identification. This work, which has garnered 5 citations, showcases his ability to develop practical, sensor-driven solutions for autonomous mobile robots—a foundation that has informed subsequent advances in human-robot interaction and assistive robotics. Velayudhan’s contributions are particularly notable for their emphasis on accessible hardware, making sophisticated autonomous capabilities more attainable for research and education. His research continues to explore how robots can perceive and respond to dynamic environments, with implications for search-and-rescue, domestic assistance, and industrial automation. By bridging the gap between theoretical algorithms and real-world deployment, Velayudhan has established himself as a thoughtful contributor to the field, inspiring students and engineers to build smarter, safer autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1