Kavli Affiliate: Wei Gao | First 5 Authors: Dekun Lu, Dekun Lu, , , | Summary: End-to-end robot manipulation policies offer significant potential for enabling embodied agents to understand and interact with the world. Unlike traditional modular pipelines, end-to-end learning mitigates key limitations such as information loss between modules and feature misalignment caused by isolated […]
Continue.. ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation