Sahil Vashisht
Papers
1
Total Citations
18
H-Index
1
About
Sahil Vashisht is a researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems and swarm intelligence. His most notable contribution is an improved particle swarm optimization (IPSO) algorithm for multi-robot path planning, published in 2016. This work addresses the critical challenge of optimizing robot trajectories in cluttered, dynamic environments, offering a robust and self-adaptive framework that enhances coordination and efficiency among multiple robots. The paper has garnered 18 citations, reflecting its relevance to researchers tackling real-world navigation and automation problems. Vashisht’s approach stands out for integrating swarm intelligence principles into practical multi-robot systems, paving the way for more resilient and scalable solutions in fields like warehouse logistics, search-and-rescue, and autonomous exploration. His work is a valuable resource for students and engineers seeking to understand how bio-inspired algorithms can solve complex path planning challenges.
Research Focus
Key Achievements
Top Papers
- 1An improved particle swarm optimization for multi-robot path planning18 citations · 2016