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Language Understanding for Field and Service Robots in a Priori Unknown Environments
This progress now creates an opportunity for robots to operate not only in isolation, but also with and alongside humans in our complex environments.
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions.
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.
Language-Guided Adaptive Perception for Efficient Grounded Communication with Robotic Manipulators in Cluttered Environments
In this paper we propose a model of language and perception for the problem of adapting the configuration of the robot perception pipeline for tasks where constructing exhaustively detailed models of the environment is inefficient and inconsequential for symbol grounding.
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