Amrinder Singh

M S Ramaiah University of Applied Sciences

Papers

Total Citations

H-Index

About

Amrinder Singh’s research focuses on advancing autonomous navigation and path planning for mobile robots, particularly in complex, hybrid road networks. His most-cited work, “Normal Probability and Heuristics based Path Planning and Navigation System for Mapped Roads” (2016, 3 citations), tackles the critical challenge of enabling robots to efficiently select optimal routes when multiple paths lead to the same destination, leveraging prior geographical knowledge. Singh’s key contribution lies in integrating normal probability distributions with heuristic algorithms to improve decision-making in navigation systems, addressing a fundamental bottleneck in robotics—balancing exploration and exploitation in mapped environments. While his citation count reflects a niche but emerging impact, his work is notable for its practical approach to real-world road networks, bridging theoretical path planning with applied robotics. This research has implications for autonomous vehicles, delivery drones, and service robots operating in urban settings. Singh’s dedication to solving navigation challenges positions him as a promising contributor to the field, with potential for broader influence as autonomous systems become increasingly integrated into daily life.