Papers
2
Total Citations
4
H-Index
2
About
Yasir Butt’s research focuses on the control and coordination of multi-robot systems, with a particular emphasis on formation control, trajectory tracking, and constrained motion planning. His major contributions lie in developing constraint-oriented strategies for leaderless consensus in multi-robot systems, where he addresses critical challenges such as inter-robot collision avoidance and velocity constraints under confined conditions. This work, published in 2024, has already garnered 2 citations, highlighting its emerging relevance in the field. Additionally, Butt has advanced nonlinear model predictive control (NMPC) for nonholonomic wheeled mobile robots, presenting a receding horizon framework that enhances trajectory tracking accuracy using kinematic models. This 2019 paper also holds 2 citations, underscoring its foundational role in practical robotics applications. Through these efforts, Butt demonstrates a strong commitment to solving real-world coordination problems in robotics, offering scalable and robust solutions for autonomous systems operating in constrained environments. His work is particularly valuable for researchers and students interested in multi-agent systems, control theory, and mobile robotics, providing a solid basis for further exploration in autonomous navigation and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 2