MMINT LAB

Our research interests are in Inference, Modeling, Control, and Learning applied to Robotic Manipulation. We're interested in the complex and exciting world of physical interactions, interactions that are fundamental to realizing the promise of robotics: a solution to some of society's biggest challenges - including patient care, industrial automation, and disaster response... Central to these challenges is a robot's ability to control its environment through selective contact and yet, despite its importance, manipulation is still an open problem. As robots touch their environment, they change it. The characteristic challenge in manipulation is that robots have to reason about and cause this change in partially unknown environments using noisy and incomplete sensory information. Our lab's focus is to build agents that reason about this change intelligently... 1- Hybrid and Multi-Modal Dynamics: The dynamics of the robot change as it comes into contact with its environment. Contact..