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Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input
Only occasionally, a learning infant would receive a matching verbal description of an action it is committing, which is similar to supervised learning.
Learning Flexible Translation between Robot Actions and Language Descriptions
In this work, we propose the paired gated autoencoders (PGAE) for flexible translation between robot actions and language descriptions in a tabletop object manipulation scenario.
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning
Human infants learn language while interacting with their environment in which their caregivers may describe the objects and actions they perform.
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