Robot technology will find wide-scale use only when a robotic device can be given commands and taught new tasks in a natural language. How could a robot understand instructions expressed in English? How could a robot learn from instructions? Crangle and Suppes begin to answer these questions through a theoretical approach to language and learning for robots, and by experimental work with robots. The authors develop the notion of an instructable robot - one which derives its intelligence in part from interaction with humans. Since verbal interaction with a robot requires a natural language semantics, the authors propose a natural-model semantics which they then apply to the interpretation of robot commands. Two experimental projects are described which provide natural-language interfaces to robotic aids for the physically disabled.

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'There is much in this book to give thought ... an interesting book ... which stimulates many interesting ideas. Suppes is ... one of the world's most famous logicians, so it is worth reading to discover his thoughts in this area.' Iain Craig, Robotica

' ... it achieves its goal admirably. It is a pleasure to read, at the same time as presenting significant research in a non-trivial fashion.' Computer Journal

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Articoli correlati a Language and Learning for Robots

Language and Learning for Robots

Crangle, Colleen; Suppes, Patrick

Usato - Rilegato

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