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Project Description:
Mobile ALOHA, a low-cost whole-body teleoperation system designed to imitate mobile manipulation tasks that require bimanual and whole-body control. The system enhances the existing ALOHA system with a mobile base and a whole-body teleoperation interface. The platform boasts success rates of up to 90% with just 50 demonstrations for each task, allowing Mobile ALOHA to autonomously carry out complex tasks like sauteing shrimp, storing heavy pots in a cabinet, using an elevator, and rinsing a pan. The project received support from Stanford Robotics Center, Stanford IRIS Lab, Stanford REAL Lab, Boston Dynamics AI Institute, and ONR grant.
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