Deepkashi Mahajan
Papers
2
Total Citations
50
H-Index
2
About
Deepkashi Mahajan is a leading researcher in multi-robot systems and autonomous exploration, with a primary focus on urban search and rescue (USAR) operations. Her most impactful contribution is the development of a novel hybrid algorithm combining Levy Flight (LF) and Particle Swarm Optimization (PSO), known as LF-PSO, which enables efficient multi-robot exploration in unknown, communication-limited environments without GPS. This work, published in 2023, has garnered 39 citations and addresses the critical gap between simulation-based planning and real-world deployment, significantly enhancing the autonomy and coordination of rescue robots in disaster zones. Her 2025 follow-up study, with 11 citations, further validates these findings in physical environments. Mahajan’s research bridges theoretical optimization and practical robotics, offering scalable solutions for time-critical missions. Her work is widely recognized for its potential to save lives by improving the speed and reliability of robotic search teams, making her a key figure in the advancement of field robotics and swarm intelligence.
Research Focus
Key Achievements
Top Papers
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- 2