معرفی
Karthik Desingh is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, College of Science and Engineering. His research focuses on robotics, computer vision, and artificial intelligence, particularly in robot perception, object representation, and manipulation learning.
His research interests span robotics, computer vision, machine learning, and human-robot interaction. He investigates how robots can perceive and interact with articulated and multi-object environments using physics-based models, belief propagation, and deep learning techniques. A significant portion of his work emphasizes unsupervised and end-user-directed learning for robot manipulation.
The recent publications reveal a strong trend in multi-object representation, visual dynamics modeling, and vision-language integration for robot learning. His work frequently appears in top-tier robotics conferences such as IEEE ICRA and journals like IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.
While no formal awards are listed, his contributions to robotics and AI are evident through consistent high-impact publications and active research in perception for general-purpose manipulation.
He advises students in robotics and AI, though specific names are not listed. His research is likely supported by academic and federal grants, given the sustained output and publication in peer-reviewed venues. He leads or contributes to a robotics research group focusing on perception and learning for manipulation tasks.
The work contributes to UN Sustainable Development Goals through advancements in intelligent systems and automation. His lab or research team engages in interdisciplinary collaboration, particularly in computer vision and robotics, with recent work involving vision-language models and policy learning for assembly tasks.
