Papers
8
Total Citations
460
H-Index
7
About
Muhammad Shamrooz Aslam is a leading researcher at the intersection of robotics, intelligent control systems, and the Internet of Robotic Things (IoRT). His work focuses on solving critical challenges in flexible and industrial robot manipulators, particularly in trajectory tracking, vibration suppression, and fault diagnosis. Aslam’s major contributions include pioneering the use of Active Disturbance Rejection Control (ADRC) for flexible joint robots, and developing hybrid deep learning frameworks for online fault diagnosis in industrial robots—work that has garnered over 125 citations and is shaping the future of self-aware, self-healing robotic systems. His research also extends to agricultural robotics, where he has designed UAV-based systems with fuzzy sliding mode observers for actuator fault detection, and to advanced control theory, including stochastic neural networks and self-triggered schemes for Takagi-Sugeno fuzzy models. With a growing body of highly cited work—including a widely discussed study on ADRC for rotary flexible joint manipulators (149 citations)—Aslam is recognized for bridging theoretical control methods with practical, real-world robotic applications. His recent review on formation control of multi-agent systems further underscores his broad impact on autonomous and cooperative robotics.
Research Focus
Key Achievements
Top Papers
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- 7Robust Adaptive Control of Robotic Manipulator with Input Time-varying Delay27 citations · 2019
- 8Recent Advancement in Formation Control of Multi-Agent Systems: A Review5 citations · 2025