معرفی
Dr. Ajay Shankar is a Post-Doc Research Fellow in the Department of Computer Science and Technology at the University of Cambridge. His primary research focuses on control, planning, and automation for robotic systems and teams, with a strong emphasis on multi-robot systems, autonomous control, and machine learning applications in robotics. He is affiliated with the Mobile Systems, Robotics and Automation research theme within the department.
His work integrates robotics, machine learning, and systems engineering to address challenges in multi-agent coordination, trajectory optimization, and real-time control. Key projects include the development of the Cambridge RoboMaster platform and studies on dynamics-aware trajectory planning using diffusion models. He also explores downwash modeling for multirotor flight in dense environments and heterogeneous multi-robot reinforcement learning frameworks.
Dr. Shankar's contributions span academic conferences and journals, with recent publications focusing on aerial robotics, autonomous systems, and multi-agent learning. His research has practical applications in environmental monitoring (e.g., UAS profiling during LAPSE-RATE campaigns) and agile robotics systems design.
- Department: Computer Science and Technology
- University: University of Cambridge
- Affiliations: Cambridge Ring Initiative, Accelerate Programme for Scientific Discovery
