Rabinarayan Sethi
Papers
1
Total Citations
10
H-Index
1
About
Rabinarayan Sethi is a researcher whose work lies at the intersection of artificial intelligence, robotics, and computational optimization. His primary research focuses on developing hybrid metaheuristic algorithms to enhance the autonomy and efficiency of robotic systems. Sethi’s most notable contribution, the hybrid SOMA–PSO technique, integrates Self-Organizing Migrating Algorithm with Particle Swarm Optimization to significantly improve navigational parameters and control in autonomous robots. This work, published in 2023 and garnering 10 citations, demonstrates his ability to fuse diverse optimization strategies for real-world robotic challenges. Beyond this, Sethi’s research has implications for path planning, obstacle avoidance, and adaptive control in dynamic environments. His approach not only advances theoretical optimization but also offers practical solutions for autonomous systems, making his work valuable for students and researchers in robotics and AI. With a growing citation footprint, Sethi is emerging as a contributor to the field of intelligent robotics, where his hybrid techniques promise to enhance the reliability and performance of autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1