Papers
15
Total Citations
76
H-Index
5
About
Dip Narayan Ray is a robotics researcher whose work centers on mobile robotics, autonomous exploration, and specialized robotic systems designed for hazardous and inaccessible environments. His most significant contributions lie in the development of robots engineered for underground coal mines — encompassing amphibious subterranean platforms capable of operating in post-flooding scenarios, tele-operated inspection systems, and environment-monitoring mobile robots. His 2013 paper on amphibian subterranean mine exploration, his most cited work with 20 citations, addressed a critically underserved niche in applied robotics by tackling the unique challenges of underground intervention after flooding events. Beyond mining, Ray has extended his expertise to tree-climbing robots for agricultural applications, terrain-adaptive mobile platforms, and robotic pipeline inspection systems. His foundational research also explores machine learning for robotic autonomy, including Q-learning frameworks for light exploration and multi-agent reinforcement learning inspired by behavior-based robotics principles. With a cumulative citation record spanning over a decade of research, Ray's work consistently bridges the gap between theoretical robotics design and practical deployment in dangerous, real-world settings, making his contributions particularly valuable to engineers and researchers working on safety-critical autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Amphibian subterranean robot for mine exploration20 citations · 2013
- 2Design and analysis of a tree climbing robot10 citations · 2015
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- 7Design and Development of a Terrain Adaptive Mobile Robot4 citations · 2021
- 8Application of single agent Q-learning for light exploration3 citations · 2010
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- 10Human-like gradual learning of a Q-learning based Light exploring robot2 citations · 2010