Awhan Patnaik
Papers
1
Total Citations
6
H-Index
1
About
Awhan Patnaik is a researcher whose work lies at the intersection of robotics, artificial intelligence, and autonomous navigation. His primary research focuses on developing intelligent control systems for mobile robots operating in complex, unstructured environments. His most cited work, "Mobile robot navigation using evolving neural controller in unstructured environments" (2014), introduces a novel approach that employs evolving neural networks to enable robots to adapt their navigation strategies in real-time, without relying on pre-mapped or structured settings. This contribution is particularly significant for advancing autonomous systems in unpredictable terrains, such as disaster zones or extraterrestrial exploration. With over 6 citations, this paper has helped shape discussions on adaptive robotics and neural control. Patnaik’s work is notable for bridging evolutionary computation with practical robotic applications, offering a scalable solution for real-world navigation challenges. His research continues to inspire students and engineers interested in creating resilient, self-learning robotic systems that can operate beyond controlled laboratory conditions.
Research Focus
Key Achievements
Top Papers
- 1