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About

Prases K. Mohanty is a prominent robotics researcher whose work sits at the intersection of autonomous mobile robotics, intelligent path planning, and bio-inspired optimization algorithms. With over 900 cumulative citations, his contributions have meaningfully advanced how robots perceive, navigate, and operate in complex, uncertain environments. Mohanty's most influential work, a comprehensive 2020 review of quadruped walking robots (336 citations), established him as an authoritative voice on legged robotic systems, synthesizing design principles and motion planning strategies across a rapidly evolving field. His equally impactful research on mobile robot path planning introduced novel applications of nature-inspired algorithms — including Cuckoo Search, Particle Swarm Optimization, and Invasive Weed Optimization — to tackle real-world navigation challenges among static and dynamic obstacles. His 2014 paper applying the Cuckoo Search Algorithm to optimal path planning (155 citations) demonstrated that bio-inspired metaheuristics could outperform conventional approaches in efficiency and robustness. A recurring theme throughout Mohanty's portfolio is the integration of adaptive neuro-fuzzy inference systems (ANFIS) with optimization techniques, producing intelligent hybrid controllers capable of nuanced decision-making in cluttered environments. His reviews on autonomous navigation techniques further cement his role as both an innovator and an essential synthesizer of knowledge for emerging researchers in mobile robotics.