Multimodal interaction with an autonomous forklift

Multimodal interaction with an autonomous forklift

We describe a multimodal framework for interacting with an autonomous robotic forklift. A key element enabling effective interaction is a wireless, handheld tablet with which a human supervisor can command the forklift using speech and sketch. Most current sketch interfaces treat the canvas as a bla...

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Bibliographic Details
Main Authors: Correa, Andrew Thomas (Contributor), Walter, Matthew R. (Contributor), Fletcher, Luke Sebastian (Contributor), Glass, James R. (Contributor), Teller, Seth (Contributor), Davis, Randall (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-04-05T17:34:52Z.
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