Papers
53
Total Citations
2,196
H-Index
18
About
Anish Pandey is a prominent robotics researcher whose work has fundamentally advanced the field of autonomous mobile robot navigation and path planning. His research spans classical and reactive navigation approaches, swarm intelligence, fuzzy logic systems, and neuro-fuzzy architectures, with a consistent focus on enabling robots to operate safely in complex, uncertain environments. Pandey's most celebrated contribution is his comprehensive 2019 review of path planning strategies, which has garnered an impressive 884 citations, establishing itself as an essential reference for researchers entering the field. His 2017 review on obstacle avoidance techniques (246 citations) further cemented his role as a synthesizer of foundational knowledge in mobile robotics. Beyond surveys, Pandey has made significant algorithmic contributions, notably applying the Firefly Algorithm to uncertain environments (179 citations) and developing a Fuzzy-Wind Driven Optimization hybrid controller for dynamic navigation scenarios (124 citations). His work with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) — including single, multiple, and minimum-rule-based architectures — demonstrates a sustained effort to build computationally efficient, intelligent controllers. More recently, he has explored PSO-tuned neural networks within simulation environments like V-REP. Collectively, Pandey's research has accumulated over 1,800 citations, making him a highly influential voice in intelligent autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1A review: On path planning strategies for navigation of mobile robot884 citations · 2019
- 2Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review246 citations · 2017
- 3Path planning in uncertain environment by using firefly algorithm179 citations · 2018
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