Gautam Siddharth Kashyap
Papers
2
Total Citations
50
H-Index
2
About
Gautam Siddharth Kashyap is a leading researcher in multi-robot systems, autonomous exploration, and swarm intelligence, with a specific focus on urban search and rescue (USAR) operations. His most impactful contribution is the development of a novel hybrid algorithm that combines Levy Flight (LF) with Particle Swarm Optimization (PSO), known as LF-PSO. This algorithm is designed to enable efficient multi-robot exploration in unknown, GPS-denied environments with limited communication—a critical challenge for real-world disaster response. Kashyap’s work bridges the gap between simulation and reality, offering a practical solution for coordinating robot teams in chaotic, post-disaster scenarios. His seminal 2023 paper on this topic has garnered 39 citations, reflecting its influence in the field, while a follow-up 2025 study has already accumulated 11 citations. By addressing the growing need for robust, decentralized coordination, Kashyap’s research is paving the way for more resilient and autonomous robotic systems in life-saving applications. His achievements highlight a commitment to translating theoretical algorithms into deployable technologies for emergency response.
Research Focus
Key Achievements
Top Papers
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- 2