Papers
7
Total Citations
183
H-Index
7
About
Asita Kumar Rath is a distinguished robotics researcher whose work centers on intelligent navigation, path planning, and autonomous control of humanoid robots. His research consistently explores how computational intelligence techniques can be integrated to enable humanoid robots to operate effectively in complex, obstacle-laden environments — a challenge of growing importance as robotics increasingly intersects with industrial automation and manufacturing. Rath's most influential contribution, "Analysis and Use of Fuzzy Intelligent Technique for Navigation of Humanoid Robot in Obstacle Prone Zone" (2018), has garnered 82 citations, establishing him as a credible voice in fuzzy logic-based robotic control. Building on this foundation, he has developed hybrid methodologies that combine fuzzy logic with genetic algorithms, neural networks, and rule-based systems, demonstrating a sophisticated, multi-pronged approach to solving navigational challenges. His 2019 and 2020 studies on hybridized controllers reflect an evolving research trajectory that embraces increasingly intelligent and adaptive architectures. Collectively accumulating over 180 citations, Rath's body of work offers practical frameworks for both single and multi-robot navigation systems. His research is particularly valuable for students and engineers working at the intersection of artificial intelligence and humanoid robotics, providing algorithmic solutions with real-world applicability in autonomous systems design.
Research Focus
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Top Papers
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- 6Path Planning of a Humanoid Robot Using Rule-Based Technique11 citations · 2020
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