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Anup Kumar Panda is a prominent researcher specializing in autonomous robotics, artificial intelligence, and multi-robot systems, with a particular focus on intelligent navigation and motion control. His pioneering work has significantly advanced the field of mobile robot navigation, addressing one of robotics' most complex challenges: coordinating multiple autonomous agents in dynamic, obstacle-rich environments. Panda's most celebrated contribution, "Fuzzy Logic Techniques for Navigation of Several Mobile Robots" (2008), has garnered 153 citations, establishing him as a leading voice in applying soft computing methodologies to robotic systems. His research systematically explores how fuzzy logic, neural networks, and hybrid neuro-fuzzy approaches can enable robots to make intelligent, real-time navigation decisions without human intervention. Notably, his work has demonstrated scalability to systems involving up to 1,000 simultaneously operating robots — a remarkable technical achievement. Across his publication portfolio, Panda has consistently bridged theoretical artificial intelligence techniques with practical robotics applications, developing rule-based frameworks that elegantly handle obstacle avoidance and target-seeking behaviors. With cumulative citations exceeding 320, his contributions have meaningfully shaped how researchers approach multi-robot coordination, making his work essential reading for anyone studying autonomous systems, swarm robotics, or AI-driven motion planning.