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TRANSIC is a data-driven framework for sim-to-real transfer of robot manipulation policies, using human-in-the-loop online corrections to bridge simulation-to-reality gaps. It enables robots to successfully complete complex, contact-rich tasks like furniture assembly by integrating base policies trained in simulation with residual policies learned from human interventions.
AI named TRANSIC from January 2026 to February 2026.