Bitan Pratihar
Papers
1
Total Citations
4
H-Index
1
About
Bitan Pratihar is a researcher at the intersection of robotics and artificial intelligence, with a primary focus on soft computing techniques for autonomous systems. His most cited work, a 2017 review on applications of soft computing in the design and development of intelligent autonomous robots, has garnered 4 citations and provides a foundational overview of how robots can perceive their environment, analyze data, plan motion, and avoid obstacles in real time. Pratihar’s contributions emphasize the integration of learning from past experiences to enhance robotic autonomy, bridging theoretical frameworks with practical implementation. His research addresses critical challenges in intelligent robotics, including sensor-based environmental mapping and adaptive motion planning. While his citation count reflects a growing interest in his review, his work stands as a valuable resource for students and researchers exploring the role of fuzzy logic, neural networks, and evolutionary algorithms in autonomous robot design. Pratihar’s scholarship offers a clear entry point for understanding how soft computing enables robots to operate intelligently in dynamic, unstructured environments.
Research Focus
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Top Papers
- 1