Pradish Dharmaligam
Papers
1
Total Citations
1
H-Index
1
About
Pradish Dharmaligam is a robotics researcher whose work centers on bioinspired design, climbing robot locomotion, and the integration of machine learning for structural stability analysis. His most notable contribution is the design and fabrication of the Bioinspired Quadruped Mesh Climbing Robot (MCR), a novel platform capable of vertical surface traversal for industrial applications such as non-destructive testing, painting, and surveying. In this work, Dharmaligam employed Edge Impulse software to determine the robot’s stability, demonstrating a practical fusion of embedded machine learning with mechanical design. While his citation count is still growing, this flagship paper represents an early-stage but impactful contribution to the field of climbing robotics. His research addresses a critical need for autonomous inspection in hazardous environments, and his approach—combining bioinspired morphology with real-time stability analysis—positions him as an emerging innovator in the robotics community. For students and researchers, Dharmaligam’s work offers a compelling model of how to bridge hardware design and intelligent control in pursuit of practical, deployable robotic systems.
Research Focus
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Top Papers
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