Koshish Koirala
Papers
1
Total Citations
14
H-Index
1
About
Koshish Koirala is a researcher in robotics and autonomous systems, with a primary focus on multi-robot coordination, exploration algorithms, and path planning. His most notable contribution is the development of a novel approach to multi-robot map exploration using Multiple Rapidly-Exploring Randomized Trees (RRTs), published in 2023. This work addresses the challenge of efficiently mapping unknown environments by enabling multiple robots to collaboratively explore while minimizing redundancy and maximizing coverage. The paper has garnered 14 citations, highlighting its relevance in the growing field of distributed robotics. Koirala’s research is particularly impactful for applications in search-and-rescue missions, planetary exploration, and industrial automation, where rapid and reliable mapping is critical. By advancing RRT-based strategies for multi-agent systems, he has provided a scalable framework that balances exploration speed with computational efficiency. His work stands out for its practical implications, offering a foundation for future studies in cooperative robotics and autonomous navigation. Koirala continues to contribute to the development of intelligent robotic systems, making him a promising voice in the next generation of robotics researchers.
Research Focus
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Top Papers
- 1