Toward Human-Like Robot Learning
Autor: | Alessandro Roncone, Stephen Beale, Olivier Magnin, Sergei Nirenburg, Marjorie McShane, Brian Scassellati, Peter Wood |
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Rok vydání: | 2018 |
Předmět: |
Computer science
05 social sciences Cognition 02 engineering and technology Robot learning 050105 experimental psychology Robotic systems Application domain Human–computer interaction 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Episodic memory Natural language Meaning (linguistics) |
Zdroj: | Natural Language Processing and Information Systems ISBN: 9783319919461 NLDB |
Popis: | We present an implemented robotic system that learns elements of its semantic and episodic memory through language interaction with its human users. This human-like learning can happen because the robot can extract, represent and reason over the meaning of the user’s natural language utterances. The application domain is collaborative assembly of flatpack furniture. This work facilitates a bi-directional grounding of implicit robotic skills in explicit ontological and episodic knowledge and of ontological symbols in the real-world actions by the robot. In so doing, this work provides an example of successful integration of robotic and cognitive architectures. |
Databáze: | OpenAIRE |
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