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Composable Semantic Frames for Grounding Language in Robot Control PrimitivesAs robots become increasingly capable of taking on challenging tasks, we want robots to be commanded in intuitive ways. Non-expert users in particular should be able to communicate with robots about task goals. As a result, modes of interaction such as language have gained interest for commanding robots. We present composable semantic frames, which ground commands in robot control primitives by composing high-level commands from lower-level commands. We demonstrate that composable semantic frames allow robots to understand and execute a variety of challenging commands, such as those involving multiple verb meanings, command variations, and compound nouns. The robot quickly processes composable semantic frames and accurately grounds and executes the commanded tasks, demonstrating the power of composable semantic frames for allowing users to intuitively interact with robots.
Document ID
20220013488
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
Emily Sheetz
(University of Michigan Houston, Texas, United States)
Matthew Shannon
(University of Michigan )
Adam Ingerman
(University of Michigan)
Cameron Kisailus
(University of Michigan)
Shaun Azimi
(Johnson Space Center Houston, Texas, United States)
Odest Chadwicke Jenkins
(University of Michigan)
Date Acquired
September 1, 2022
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: International Conference on Robotics and Automation (ICRA) 2023
Location: London
Country: GB
Start Date: May 29, 2023
End Date: June 2, 2023
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NSTGRO Grant 80NSSC20K1200
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
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