Papers
8
Total Citations
258
H-Index
4
About
Ram Kishan Dewangan is a robotics and autonomous systems researcher whose work centers on path planning, multi-robot coordination, and unmanned aerial vehicle (UAV) navigation. His most influential contribution, "Three Dimensional Path Planning using Grey Wolf Optimizer for UAVs" (2019), has garnered 173 citations, establishing him as a notable voice in nature-inspired optimization applied to autonomous navigation. Dewangan's research consistently tackles the computational complexity of moving agents through obstacle-rich, three-dimensional environments, leveraging bio-inspired algorithms such as Grey Wolf Optimizer, Ant Lion Optimization, and Salp Swarm Algorithm to find efficient, collision-free paths. A recurring theme across his work is the challenge of multi-robot path planning (MRPP), where he has pioneered priority-based frameworks — including his POHACD algorithm — that enable robots to coordinate both centrally and autonomously. His 2017 survey on prioritized MRPP helped map the landscape of this emerging field for subsequent researchers. More recently, his UAV-NavS hybrid navigation system (2025) reflects his ongoing push toward scalable solutions for multiple UAVs simultaneously. With additional contributions to odor source localization and dynamic obstacle avoidance, Dewangan's body of work collectively advances safer, smarter autonomous systems across real-world robotics applications.
Research Focus
Key Achievements
Top Papers
- 1Three dimensional path planning using Grey wolf optimizer for UAVs173 citations · 2019
- 2
- 3Survey on prioritized multi robot path planning25 citations · 2017
- 4
- 5
- 6Prioritized multi robot path planning in presence of dynamic obstacles3 citations · 2017
- 7
- 8Path Planning for Multiple Mobile Robots by Priority Assignment2 citations · 2018