Intelligence through Robotic Interaction at Scale Lab (IRIS)

Intelligence through Robotic Interaction at Scale Lab (IRIS)

IRIS acquires scalable robotic intelligence through establishing algorithms for general intelligent behavior through learning and interaction. With methods from deep reinforcement learning over raw sensory inputs, meta-learning from previous experience for accelerating new skill development, and self-supervised learning from interactions without human supervision, we aim for robots able to perform varied learned tasks across diverse environments.