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Found 3 papers, 1 papers with code
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
It then uses this information to learn a mapping between its own actions and those performed by a human in a shared environment.
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots
One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on objects, and what their effects will be, i. e., the ability to perceive object affordances.
Interactive Robot Learning of Gestures, Language and Affordances
A growing field in robotics and Artificial Intelligence (AI) research is human-robot collaboration, whose target is to enable effective teamwork between humans and robots.
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