Vibhav Kumar Sachan
Papers
2
Total Citations
12
H-Index
2
About
Vibhav Kumar Sachan is a researcher specializing in autonomous robotics, swarm intelligence, and multi-robot systems, with a particular focus on developing efficient path planning algorithms for complex, unknown environments. His work addresses one of the most pressing challenges in modern robotics: enabling autonomous agents to navigate unpredictable environments with precision and reliability. Sachan's most notable contributions center on applying nature-inspired optimization techniques to multi-robot path planning. His 2019 study on Particle Swarm Optimization (PSO) for multi-robot navigation in intricate environments garnered 8 citations, demonstrating the viability of PSO as a novel framework for overcoming automation and detection challenges in robotics. Complementing this, his work comparing Cuckoo Search (CS) algorithms with PSO in complex static obstacle environments has further enriched the field's understanding of bio-inspired computational strategies, earning 4 citations. By benchmarking and analyzing parameters across multiple optimization paradigms, Sachan has contributed meaningful insights into how swarm-based algorithms can be tailored for real-world robotic deployment. His research serves as a valuable reference for engineers and computer scientists seeking robust, scalable solutions for autonomous navigation, making him a relevant voice in the growing field of intelligent robotics and computational optimization.
Research Focus
Key Achievements
Top Papers
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- 2