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About

Prashant Ganesh is a leading researcher in autonomous systems, with a primary focus on aerial robotics, multirotor control, and decentralized multi-agent coordination. His most impactful contribution is the **REEF Estimator** (14 citations), an open-source estimator and controller that dramatically reduces the infrastructure burden for researchers and graduate students working with multirotor platforms, allowing them to focus on core research rather than vehicle setup. Ganesh has also made significant strides in combinatorial optimization through his work on **decentralized weapon–target assignment** (13 citations), addressing the challenge of asynchronous communications in multi-agent task allocation. His research extends to **RGB-D planar semantic SLAM** (6 citations), where he tackles compute and bandwidth constraints for intelligent mobile robots, and to **extrinsic calibration** techniques (6 citations) for camera and motion capture systems. Notably, Ganesh leads the **REEF Autonomous Vehicles Laboratory**, a collaboration hub that expedites flight capabilities for the U.S. Department of Defense and academic research. His work on persistent surveillance in GPS-denied environments and finite-time visual servo control for robotic fruit harvesting demonstrates the breadth of his applied robotics expertise. With a growing citation record and a focus on open-source tools, Ganesh is a key enabler of accessible, high-impact autonomous systems research.