Povendhan Palanisamy
Papers
5
Total Citations
48
H-Index
4
About
Povendhan Palanisamy is a robotics researcher whose work sits at the intersection of infrastructure inspection, artificial intelligence, and reconfigurable robotic design. His primary research focus is developing intelligent, autonomous robotic systems for hazardous and confined-space environments, with a particular emphasis on urban drainage and building infrastructure. Palanisamy is the lead designer of the "Raptor" robot, a reconfigurable platform purpose-built for drain inspection that has accumulated over 35 citations across a series of papers published in 2021. His most-cited work, "Raptor: A Design of a Drain Inspection Robot" (13 citations), establishes the foundational hardware design, while subsequent papers demonstrate how he integrates deep learning—specifically convolutional neural networks—and an Internet of Robotic Things (IoRT) framework to enable automated defect detection, mapping, and remote operation. He has extended this methodology to building maintenance with the "Falcon" robot for false ceiling deterioration detection (9 citations). More recently, Palanisamy has advanced the field of robot health monitoring itself, proposing an AI-enabled condition monitoring framework using 3D LiDAR sensors for outdoor mobile robots (2023). His work directly addresses critical public health and safety challenges by replacing dangerous, labor-intensive manual inspections with intelligent, autonomous solutions.
Research Focus
Key Achievements
Top Papers
- 1Raptor: A Design of a Drain Inspection Robot13 citations · 2021
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