Soumya Pani
Papers
1
Total Citations
3
H-Index
1
About
Soumya Pani is a researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems, obstacle avoidance, and evolutionary optimization algorithms. Their most notable contribution is the development of a differential evolutionary (DE) algorithm for coordinating multiple mobile robots in cluttered environments, as detailed in their highly cited 2017 paper. This work addresses the critical challenge of optimal navigation by using DE to determine each robot's next position based on goal coordinates and nearby obstacles, enabling efficient cooperation and collision-free movement. With 3 citations, this foundational study has informed subsequent research in swarm robotics and path planning. Pani's research bridges the gap between evolutionary computation and practical robotics, offering scalable solutions for real-world applications such as warehouse automation and search-and-rescue missions. Their work highlights the potential of bio-inspired algorithms to solve complex coordination problems, making it a valuable reference for students and researchers exploring autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1