Susmita Panda
Papers
1
Total Citations
3
H-Index
1
About
Susmita Panda is a researcher specializing in mobile robotics and nature-inspired optimization algorithms, with a particular focus on path-planning in complex, cluttered environments. Her most notable contribution is the development of an oppositional-based improved firefly algorithm (OFA), which enhances the standard firefly algorithm’s ability to navigate autonomous robots through obstacle-dense spaces. This work, published in 2020 and cited three times, demonstrates a novel hybrid approach that balances exploration and exploitation, offering faster convergence and safer trajectories compared to conventional methods. Panda’s research addresses critical challenges in autonomous navigation, such as avoiding collisions while optimizing energy and time efficiency. By integrating opposition-based learning into swarm intelligence, she provides a robust framework for real-time robotic applications in industrial, search-and-rescue, and domestic settings. Her work stands out for its practical relevance, bridging theoretical algorithm design with tangible robotic performance. As a researcher, Panda contributes to the growing field of intelligent systems, where her algorithm’s adaptability to dynamic environments marks a meaningful step forward in autonomous mobile robot technology.
Research Focus
Key Achievements
Top Papers
- 1