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Achieving Corresponding Effects on Multiple Robotic Platforms: Imitating in Context Using Different Effect Metrics

Alissandrakis, A.; Nehaniv, C.L.; Dautenhahn, K.; Saunders, J. (AISB, 2005)

One of the fundamental problems in imitation is the correspondence problem, how to map between the actions, states and effects of the model and imitator agents, when the embodiment of the agents is dissimilar. In our ...

An Approach for Programming Robots by Demonstration: Generalization Across Different Initial Configurations of Manipulated Objects

Alissandrakis, A.; Nehaniv, C.L.; Dautenhahn, K.; Saunders, J. (IEEE, 2005)

Imitation is a powerful learning tool that can be used by a robotic agent to socially learn new skills and tasks. One of the fundamental problems in imitation is the correspondence problem, how to map between the actions, ...