4 datasets found

NOIR is a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.

OLAF is a learning system that allows everyday users to teach a robot using verbal corrections when the robot makes mistakes.

The dataset used in the paper for learning preference-agnostic representations from trajectory similarity queries.

Aligning robot behavior with human preferences is crucial for deploying embodied AI agents in human-centered environments. A promising solution is interactive imitation learning...