Varad Nerlekar
Papers
1
Total Citations
3
H-Index
1
About
Varad Nerlekar is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His most-cited paper, "Implementation of A* Algorithm for Optimal Path Planning for Mobile Robots" (2022, 3 citations), makes a foundational contribution by demonstrating how the classic A* search algorithm can be effectively adapted for real-world robotic systems. This work addresses a critical challenge in automation—enabling robots to compute efficient, collision-free routes from a start point to a destination in dynamic environments. By bridging theoretical algorithm design with practical implementation, Nerlekar’s research supports the broader push toward intelligent automation in industries ranging from manufacturing to logistics. His findings are particularly relevant for students and engineers seeking to understand how heuristic search methods can be optimized for mobile platforms. With a focus on real-time decision-making and computational efficiency, Nerlekar’s contributions help lay the groundwork for more responsive and autonomous robotic systems, making his work a valuable reference for those exploring path planning in robotics.
Research Focus
Key Achievements
Top Papers
- 1