Radhe Shyam Sharma
Papers
5
Total Citations
128
H-Index
4
About
Radhe Shyam Sharma is a leading researcher in the field of autonomous robotics, with a primary focus on the control and navigation of nonholonomic mobile robots and quadcopters. His work masterfully bridges theoretical control systems with practical, real-world implementation. A major contribution is his development of robust control strategies for multi-robot formations, addressing critical challenges like collision avoidance and connectivity assurance under disturbances, as detailed in his highly cited 2020 paper (65 citations). Sharma is also a pioneer in integrating advanced techniques such as reinforcement learning and fractional-order sliding mode control for robust visual servoing, eliminating the need for depth data in autonomous ground vehicles. His innovative approach to position-based visual servoing includes an automatic extrinsic calibration scheme using gradient descent, and he has adapted Dynamic Movement Primitives (DMPs) for mobile robot trajectory tracking with automatic goal adaptation and obstacle avoidance. With a total of over 128 citations across his key works, Sharma’s research is instrumental in advancing the reliability and autonomy of robotic systems in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Position Based Visual Control of the Hovering Quadcopter3 citations · 2017