Prabin Kumar Rath

National Institute of Technology Rourkela, Arizona State University

Papers

Total Citations

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About

Dr. Prabin Kumar Rath is a roboticist whose research bridges classical control, perception, and modern learning-based methods for autonomous systems. His work primarily focuses on motion planning, 3D perception, and whole-body control for robots operating in challenging, unstructured environments. A key contribution is his development of a real-time system for detecting and removing moving objects from 3D pointcloud data, enabling humanoid robots to navigate safely in dense, GPS-denied settings—a critical capability for disaster response and subterranean exploration. This work has garnered 9 citations. Dr. Rath also explored the intersection of AI and strategy with his work on an autonomous chess-playing robot (13 citations), demonstrating end-to-end integration of perception and decision-making. Most recently, his pioneering paper "XMoP" introduces a whole-body control policy for zero-shot cross-embodiment neural motion planning, allowing a single policy to control different robot morphologies without retraining. With over 23 citations across his most-cited works, Dr. Rath is advancing the frontier of generalizable robot autonomy, making his research highly relevant for students and engineers interested in perception, control, and the future of embodied AI.