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, Walter, Matthew R., Fletcher, Luke Sebastian, Glass, James R., Teller, Seth, Davis, Randall
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/69957
https://orcid.org/0000-0002-3097-360X
https://orcid.org/0000-0001-5232-7281

Internet

http://hdl.handle.net/1721.1/69957
https://orcid.org/0000-0002-3097-360X
https://orcid.org/0000-0001-5232-7281

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