Mechanics-Informed Robot Perception, Learning, and Manipulation

This project integrates mechanics principles with artificial intelligence to enhance robotic capabilities in unstructured environments. By fusing mechanics with machine learning and computer vision, robots can better understand their surroundings, predict object behavior, and adapt to changes, transcending traditional limitations.

This project aims to develop advanced algorithms for improved interaction and adaptive manipulation, leveraging mechanics-based models for improved perception and prediction. Such advancements promise to revolutionize robotic applications across various sectors, including industrial automation, healthcare, and disaster response, marking a significant leap toward autonomous, intelligent robotic systems.