Harish Chandra Das
National Institute of Technology Meghalaya, Integrated Test Range
Papers
7
Total Citations
173
H-Index
6
About
Harish Chandra Das is a robotics and computational intelligence researcher whose work has made significant strides in the domain of humanoid robot navigation and path planning. His research focuses primarily on developing intelligent navigational controllers for humanoid robots operating in complex, obstacle-prone environments — a challenge of growing importance as robotics increasingly intersects with industrial automation and manufacturing. Das has pioneered the application of hybrid computational intelligence techniques to solve real-world navigation problems. His most influential contribution, a fuzzy logic-based navigational controller for humanoids (2018), has garnered 82 citations, establishing him as a notable voice in the field. He has further advanced this work by hybridizing fuzzy logic with genetic algorithms and integrating artificial neural networks into navigational frameworks, demonstrating a consistent commitment to combining multiple intelligent methodologies for superior performance. His 2019 and 2020 studies on hybrid controllers collectively attracted over 50 additional citations, reflecting their practical relevance. Earlier in his career, Das explored fault diagnosis in dynamic structures using adaptive neuro-fuzzy inference systems, revealing a foundational interest in intelligent systems that predates his robotics focus. Across his body of work, Das exemplifies how computational intelligence can be meaningfully applied to advance autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Path Planning of a Humanoid Robot Using Rule-Based Technique11 citations · 2020
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