Over the last decade, cooperative control in multi-agent systems has garnered immense interest, largely due to its broad applicability in areas such as cooperative robotics, distributed optimization, power distribution systems, and micro-grids. This approach significantly enhances scalability, robustness, and parallelism within these systems. Our lab was founded with the specific objective of studying various facets of multi-agent systems, with a particular emphasis on control of multi-vehicle formation and cooperative localization using the swarm of vehicles.

The Multi-agent Simulations and Control (MuSiC) lab, part of the Department of Electrical Engineering and Computer Science at the Indian Institute of Science Education and Research Bhopal (IISERB), was established in September 2022 under the guidance of Dr. Arijit Sen. 

Since our lab's inception, our team members have dedicated their efforts to tackling challenging problems of control and optimization in multi-agent systems. Our research has focused on key areas such as state coordination, formation control, distributed optimization, consensus algorithms, and microgrid applications.

In the other key area of autonomous trajectory-tracking, some of our current team-members are working on developing novel algorithms using data-driven methods (using machine learning or deep learning) and model-based methods (model-predictive control or Kalman filtering), and test them on real robotic systems like Turtlebots or Crazy-flies.

On the hardware front, our work has centered on developing and testing, low-cost autonomous units, including soft-robotic gripper. These platforms are designed not only to serve as valuable research tools for robotics but also to be directly applicable to real-world scenarios. 

Further details can be found on the rest of the page of our website.