Papers
1
Total Citations
3
H-Index
1
About
S. Kashyap is a researcher specializing in mobile robotics and nature-inspired optimization algorithms, with a particular focus on autonomous navigation systems. Their most notable contribution is the development of the Functional Firefly Algorithm (FFA), introduced in their 2023 paper "Self-Directed Mobile Robot Navigation Based on Functional Firefly Algorithm (FFA)." This work presents an innovative approach to robot path planning that combines a linear objective function with a choice function, enabling efficient navigation through single-degree polynomial time operations. The FFA method offers significant advantages over traditional navigation strategies by optimizing computational efficiency while maintaining robust performance in dynamic environments. Kashyap's research addresses critical challenges in self-directed mobile robot navigation, contributing to the broader field of autonomous systems and swarm intelligence. With 3 citations to date, their work represents an emerging contribution to the robotics literature, offering a promising direction for future developments in real-time navigation algorithms. Kashyap's research sits at the intersection of computational intelligence and practical robotics, demonstrating how biologically-inspired algorithms can be adapted for real-world autonomous navigation applications.
Research Focus
Key Achievements
Top Papers
- 1