Robot Vision for Manipulation Actions
Computer Vision Lab
University of Maryland
One of the challenging applications in autonomous systems design is to enable robots to collaborate with humans in daily activities. The large variations in the way humans perform manipulation actions and the occlusions in video caused by the movement and interactions of humans with different objects make the interpretation of dexterous actions very difficult for computational perception, and thus powerful generalization mechanisms are necessary.