Papers
44
Total Citations
1,092
H-Index
18
About
Anupam Shukla is a prominent researcher whose work sits at the intersection of robotics, artificial intelligence, and autonomous systems, with a particular focus on path planning, swarm intelligence, and unmanned aerial vehicles (UAVs). Over more than a decade of sustained contributions, Shukla has advanced the field of robotic navigation by developing and applying sophisticated optimization techniques to real-world challenges in both static and dynamic environments. Among his most celebrated contributions is his application of bio-inspired algorithms — including Grey Wolf Optimization, Glowworm Swarm Optimization, and Artificial Bee Colony — to solve complex three-dimensional path planning problems for UAVs, earning over 300 combined citations across these works alone. His earlier foundational research fusing probabilistic A* algorithms with fuzzy inference systems for robotic path planning (144 citations) demonstrated his ability to bridge classical AI approaches with soft computing methodologies. His 2012 book, *Intelligent Planning for Mobile Robotics*, further solidified his role as an educator and thought leader in applied AI. With a body of work spanning multi-robot coordination, evolutionary programming, and adaptive swarm-based search, Shukla's research has meaningfully shaped modern autonomous navigation, making him a key reference point for students and engineers working in robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Three dimensional path planning using Grey wolf optimizer for UAVs173 citations · 2019
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- 9Intelligent Planning for Mobile Robotics: Algorithmic Approaches39 citations · 2012
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