Search Results for author: Thomas M. Howard

Found 4 papers, 1 papers with code

Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments

no code implementations22 Oct 2019 Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter

Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions.

Instruction Following

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions

no code implementations21 Mar 2019 Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard

The speed and accuracy with which robots are able to interpret natural language is fundamental to realizing effective human-robot interaction.

Natural Language Understanding

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