Papers
4
Total Citations
50
H-Index
4
About
M. K. Sharma is a leading researcher in mobile robotics, with a primary focus on fault-tolerant control, predictive control, and real-time autonomous navigation. His most influential work, "Behavioural Fault tolerant control of an Omni directional Mobile Robot with Four mecanum Wheels" (2019, 22 citations), provides a groundbreaking analysis of wheel configurations that maintain near-desired performance under single and dual faults, advancing the reliability of omnidirectional platforms for both set-point and trajectory-tracking tasks. Sharma further extends control theory in "Complete wheeled mobile robot for a variable parameter linear system with a robust predictive control" (2024, 18 citations), offering robust solutions for systems with dynamic parameters. His recent contributions to vision-based autonomy, including "Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control" (2025, 5 citations), demonstrate a commitment to efficient, real-world deployment. Notably, Sharma’s work on learning model predictive controllers (2024) was later retracted, reflecting a rigorous approach to scientific integrity. With over 50 total citations, his research continues to shape resilient, intelligent mobile robot systems for industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4