A.P. Povendhan
Papers
4
Total Citations
30
H-Index
3
About
A.P. Povendhan is a robotics researcher specializing in autonomous systems, self-reconfigurable robots, and multi-sensor fusion for infrastructure maintenance applications. Their work focuses on developing intelligent robotic solutions for pavement cleaning and drain inspection, addressing the challenges of automation in labor-intensive municipal tasks. Povendhan’s major contributions include a novel multi-sensor fusion framework incorporating adaptive transformation for reconfigurable pavement sweeping robots (12 citations), which enables efficient object detection and perception enhancement in dynamically reconfiguring platforms. They also developed an anti-collision static rotation local planner for four independent steering drive self-reconfigurable robots (12 citations), advancing autonomous navigation in cluttered environments. Notable achievements include proposing a cloud-based system architecture for drain inspection robots to offload computationally intensive tasks, and a shared autonomy framework using multi-layer fuzzy logic to ensure safety between autonomous robots and teleoperators. With a total of 30 citations across their most-cited works, Povendhan’s research bridges the gap between autonomous navigation, reconfigurable hardware, and cloud robotics, contributing to safer and more efficient urban maintenance automation.
Research Focus
Key Achievements
Top Papers
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- 2
- 3Towards a Cloud-Based System Architecture for Drain Inspection Robots3 citations · 2021
- 4