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Sanjiv Singh is a Consulting Professor at the Robotics Institute of Carnegie Mellon University, focusing on advanced robotics applications. His research interests include motion planning, state estimation, and real-time control for both ground and aerial vehicles. Singh's work encompasses various innovative projects, such as the CASC project aimed at agricultural applications, the Riverine project which focuses on exploration of aerial vehicles, and the Transformer project centered on autonomous low-flying aircraft. He also investigates the capabilities of coordinated multi-robot systems to accomplish tasks that single robots cannot. His studies delve into the development of motion planning architectures that allow teams of robots and humans to operate efficiently and reliably. Additionally, Singh explores the dynamics of interaction between robots and the physical world, specifically in tasks that involve significant forces, employing physical models for optimal action selection.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.