Shrijit Singh

Papers

Total Citations

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About

Shrijit Singh is a researcher in robotics and autonomous systems, with a primary focus on path tracking, control algorithms, and mobile robot navigation. His most notable contribution is the development of the "Regulated Pure Pursuit" algorithm for robot path tracking, a significant advancement over the classic Pure Pursuit method. This work, published in 2023, introduces a dynamic regulation of the look-ahead distance based on the robot's velocity and path curvature, enabling smoother and more stable tracking in complex environments. The paper has garnered 84 citations in a short time, reflecting its immediate impact on the field and its adoption in both academic research and practical robotic applications. Singh's contributions are particularly valued for their balance of simplicity and robustness, making them accessible for real-time implementation on resource-constrained platforms. His research addresses critical challenges in autonomous navigation, including obstacle avoidance and trajectory optimization, and has been instrumental in advancing the capabilities of wheeled and tracked robots. With a growing citation record and a focus on practical, deployable solutions, Shrijit Singh is emerging as a key figure in modern robotics control theory.