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 CS294B/CS294W
 STAIR: STanford AI Robot project
 Winter 2005


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Announcements

(Last updated 12/21/05)

You can find a description of this project at the STAIR project site.






STAIR Project Description


Since its birth in 1956, the AI dream has been to build systems that exhibit
broad-spectrum competence and intelligence. In the STAIR (STanford AI Robot)
project, we will build a robot that can navigate home and office environments,
that can pick up and interact with objects and tools, and that can intelligently
converse with and help people in these environments. Our single robot platform
will integrate methods drawn from all areas of AI, including machine learning,
vision, navigation, manipulation, planning, reasoning, and speech/natural
language processing. This is in distinct contrast to the 30 year old trend of
working on fragmented AI sub-fields, and will be a unique vehicle for driving
forward research towards true, integrated AI.

Over the long term, we envision a single robot that can perform tasks such as:
 * Fetching a book or a person from an office, in response to a verbal request.
 * Tidying up a living-room after a party, including picking up and throwing
   away trash, and placing dirty plates and placing dirty plates and glasses in
   the dishwasher.
 * Using multiple tools (screwdriver, hammer, pliers, etc.) as necessary to
   assemble a bookshelf.
 * Showing guests around an active research lab (in which things change daily),
   answering questions and keeping track of the entire group.

A robot capable of these tasks will revolutionize home and office automation,
and have important applications ranging from machine shop assistants to elderly
care. However, carrying out such tasks will require significant advances in
integrated learning, manipulation, perception, spoken dialog, and reasoning.

In CS294B, we will work on these problems, and develop the first STAIR.

STAIR represents a collaboration among ten different research groups in the
Stanford AI Lab. You can also read more about STAIR in the following article.





Course Information

COURSE INSTRUCTOR:

Andrew Ng. (ang@cs.stanford.edu)

CLASS MEETINGS:

This is a project course. There will be no homeworks and no weekly lectures, and
we will instead spend the quarter working on different STAIR-related AI research
projects (such as computer vision, robot manipulation, spoken dialog/NLP,
learning, etc.).

The class' first meeting was on Wednesday 11th January morning. If had missed
that meeting but would like to take CS294B, please email
cs294b-qa@cs.stanford.edu to let us know.


MORE INFORMATION:

 * Course Information
 * Previous STAIR team members
 * Software Documentation
 * Some STAIR project ideas