Cognitive Systems and Robotics. Teaching the use of functional object classes through learning by doing. In order to work naturally in human environments such as offices and homes, robots of the future will need to be much more flexible and robust in the face of novelty than those of today. GeRT will develop new methods to cope with novelty in manipulation tasks. Humans cope so seamlessly with novel objects, but this kind of everyday novelty in manipulation tasks is hard for a robot. Robots need ways of generalising on the fly to cope with novel objects and novel tasks. To achieve this GeRT will use a variety of techniques from machine perception, machine learning, and artificial intelligence techniques such as automated planning.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence
- /engineering and technology/materials engineering
Call for proposal
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Funding SchemeCP - Collaborative project (generic)