Rakesh Ranjan Swain
Papers
1
Total Citations
22
H-Index
1
About
Rakesh Ranjan Swain is a robotics researcher whose work focuses on intelligent autonomous navigation, particularly for mobile robots operating in constrained environments. His most cited paper, "Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network" (2015), addresses a core challenge in robotics: enabling robots to autonomously follow walls using minimal sensor input. Swain’s key contribution lies in integrating gravitational search algorithms with feed-forward neural networks to train robots for adaptive, real-time navigation. This approach reduces computational overhead while improving accuracy in dynamic settings. With 22 citations, this work has influenced subsequent studies in neural network-based robot control and bio-inspired optimization. Swain’s research sits at the intersection of machine learning, swarm intelligence, and mobile robotics, offering practical solutions for autonomous systems in industrial and domestic applications. His work is particularly relevant for students and researchers exploring low-cost, efficient navigation methods that do not rely on expensive sensors or extensive pre-mapping. By demonstrating how gravitational search can enhance neural network training for real-world tasks, Swain has contributed a valuable tool to the growing field of intelligent robotic control.
Research Focus
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Top Papers
- 1