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Language and Learning for Robots (Paperback, 74th Ed.)
Loot Price: R717
Discovery Miles 7 170
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Language and Learning for Robots (Paperback, 74th Ed.)
Series: Center for the Study of Language and Information Publication Lecture Notes, 41
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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. The authors
discuss the specific challenges posed by the interpretation of
"stop" commands and the interpretation of spatial prepositions.
The authors also examine the use of explicit verbal instruction to
teach a robot new procedures, propose ways a robot can learn from
corrective commands containing qualitative spatial expressions, and
discuss the machine-learning of a natural language use to instruct
a robot in the performance of simple physical tasks. Two chapters
focus on probabilistic techniques in learning.
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