Papers / CoRL 2024

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Fu, Zhao, Finn · Stanford · arXiv:2401.02117

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Extends ALOHA to a wheeled base with whole-body teleoperation and shows co-training with static ALOHA data lifts mobile manipulation success up to 90%.

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