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Combining goal inference and natural-language dialogue for human-robot joint ac...

Foster, Mary Ellen; Giuliani, Manuel; Müller, Thomas; Knoll, Alois; Erlhagen, Wolfram; Bicho, E.; Hipólito, Nzoji; Louro, Luís

We demonstrate how combining the reasoning components from two existing systems designed for human-robot joint action produces an integrated system with greater capabilities than either of the individual systems. One of the systems supports primarily non-verbal interaction and uses dynamic neural fields to infer the user’s goals and to suggest appropriate system responses; the other emphasises natural-language ...


Action-understanding and imitation learning in a robot-human task

Erlhagen, Wolfram; Mukovskiy, Albert; Bicho, E.; Pannin, Giorgio; Kiss, Casba; Knoll, Alois; Van Schie, Hein; Bekkering, Harold

We report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goaldirected imitation. The control architecture is biologically inspired as it reflects recent experimental findings in action observation/execution studies. We test its functionality in variations of an imitation paradigm in which the artefact has to reproduce the observed or inferred ...


Goal-directed Imitation for Robots: a bio-inspired approach to action understan...

Erlhagen, Wolfram; Mukovskiy, Albert; Bicho, E.; Panin, Giorgio; Kiss, Casba; Knoll, Alois; Van Schie, Hein; Bekkering, Harold

In this paper we present a robot control architecture for learning by imitation which takes inspiration from recent discoveries in action observation/execution experiments with humans and other primates. The architecture implements two basic processing principles: 1) imitation is primarily directed toward reproducing the goal/end state of an observed action sequence, and 2) the required capacity to understand t...


Action understanding and imitation learning in a robot-human task

Erlhagen, Wolfram; Mukovskiy, Albert; Bicho, E.; Panin, Giorgio; Kiss, Casba; Knoll, Alois; Van Schie, Hein; Bekkering, Harold

We report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goaldirected imitation. The control architecture is biologically inspired as it reflects recent experimental findings in action observation/execution studies. We test its functionality in variations of an imitation paradigm in which the artefact has to reproduce the observed or inferred...


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