-
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
NOIR is a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. -
OLAF: Operation-relabelled Learning with Language Feedback
OLAF is a learning system that allows everyday users to teach a robot using verbal corrections when the robot makes mistakes. -
SIRL: Similarity-based Implicit Representation Learning
The dataset used in the paper for learning preference-agnostic representations from trajectory similarity queries. -
MEREQ: Sample-Efficient Alignment from Human Intervention
Aligning robot behavior with human preferences is crucial for deploying embodied AI agents in human-centered environments. A promising solution is interactive imitation learning...
