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In situations such as habitat construction, station inspection, or cooperative exploration, incorrect assumptions about the environment or task across the team could lead to mission failure. Thus it is important to resolve any ambiguity about the mis
Externí odkaz:
http://arxiv.org/abs/2304.05485
Autor:
Howard, Thomas Albert1
Publikováno v:
Touchstone: A Journal of Mere Christianity. Nov/Dec2024, Vol. 37 Issue 6, p24-27. 4p.
Publikováno v:
In Journal of Molecular Spectroscopy November-December 2024 406
Autor:
Chakravarty, Krishna Hara, Sadi, Meisam, Chakravarty, Harapriya, Andersen, Jakob, Choudhury, Bobby, Howard, Thomas James, Arabkoohsar, Ahmad
Publikováno v:
In Chemosphere April 2024 353
Autor:
Walter, Matthew R., Patki, Siddharth, Daniele, Andrea F., Fahnestock, Ethan, Duvallet, Felix, Hemachandra, Sachithra, Oh, Jean, Stentz, Anthony, Roy, Nicholas, Howard, Thomas M.
Contemporary approaches to perception, planning, estimation, and control have allowed robots to operate robustly as our remote surrogates in uncertain, unstructured environments. This progress now creates an opportunity for robots to operate not only
Externí odkaz:
http://arxiv.org/abs/2105.10396
Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions. Two fundamental limitations of these methods are that most require a full model of the environment to be kno
Externí odkaz:
http://arxiv.org/abs/1910.10034
Language is an effective medium for bi-directional communication in human-robot teams. To infer the meaning of many instructions, robots need to construct a model of their surroundings that describe the spatial, semantic, and metric properties of obj
Externí odkaz:
http://arxiv.org/abs/1909.09880
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions
The speed and accuracy with which robots are able to interpret natural language is fundamental to realizing effective human-robot interaction. A great deal of attention has been paid to developing models and approximate inference algorithms that impr
Externí odkaz:
http://arxiv.org/abs/1903.09243
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