Sakshi Dhawan
Papers
1
Total Citations
3
H-Index
1
About
Sakshi Dhawan is an emerging researcher in robotics and autonomous systems, with a primary focus on bio-inspired optimization algorithms for path planning and navigation. Her most-cited work, "Using Ant Colony Optimised Algorithms for Shortest Path Exploration by Robots" (2024), demonstrates how swarm intelligence techniques can dramatically improve a robot's ability to discover efficient routes in complex environments. By adapting the collective foraging behavior of ants to robotic exploration, Dhawan's approach reduces computational overhead while enhancing adaptability in dynamic settings. Though early in her career, her contributions are already gaining traction, with 3 citations in a short span—a promising sign of growing influence. Her research bridges theoretical optimization with practical robotics, offering scalable solutions for autonomous navigation, resource allocation, and mission efficiency. Dhawan's work holds particular relevance for applications in search-and-rescue, warehouse automation, and planetary exploration, where robust path planning is essential. As she continues to refine these algorithms, her findings are poised to shape the next generation of intelligent, self-optimizing robotic systems.
Research Focus
Key Achievements
Top Papers
- 1