معرفی
Suman Chakravorty is a Professor of Aerospace Engineering at Texas A&M University, part of the College of Engineering's Department of Aerospace Engineering. He leads the Estimation, Decision and Planning (EDP) Laboratory, focusing on nonlinear control, robotics, and space situational awareness. He holds a Ph.D. from the University of Michigan (2004) and a B.Tech from the Indian Institute of Technology Madras (1997).
His research emphasizes stochastic controls, robotic planning, and data-driven modeling. Notable awards include the National Innovation Award (2017) and a Summer Faculty Fellowship from the Air Force (2010–2012). His work spans space object tracking, autonomous systems, and optimal control of complex systems like material microstructures.
Key contributions include the SLAP framework for belief-space planning and advancements in particle Gaussian mixture filters. He advises students such as Utkarsh, Ran Wang, and Dilshad Raihan, and collaborates on projects like T-PFC control and randomized FISST techniques for multi-target tracking.
His lab’s research integrates theory and practice, addressing challenges in non-Gaussian uncertainty, distributed estimation, and adaptive sampling. He promotes interdisciplinary approaches to robotics and aerospace systems, with applications in both academia and industry.
