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Probabilistic and Compositional Representations of Objects for Robotic Manipulation (PaCMan)
Start date: Mar 1, 2013, End date: Feb 29, 2016 PROJECT  FINISHED 

Description PaCMan will advance methods for object perception, representation and manipulation so that a robot is able to robustly manipulate objects even when those objects are unfamiliar, and even though the robot has unreliable perception and action. The project will develop two main strands of work: a multi-modal compositional, probabilistic representation of object properties to support perception and manipulation, and algorithms for reasoning with this representation, that will estimate object properties from visual and haptic data, and also plan how to actively gather information about shape and other object properties while achieving a task.
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