Scoped for a solo hobbyist on a low-cost desk arm, not a lab or company exactly the audience ACT/ALOHA, Mobile ALOHA, and OpenVLA explicitly target. Simulates the learning curve a solo operator actually sees across 5 tasks, 5 methods, and 3 hobbyist-controllable conditions (co-training, session consistency, setup control). Ten sources (2021–2024) documented in demo_efficiency_theory.py, including ACT/ALOHA, Diffusion Policy, Mobile ALOHA, OpenVLA, Open X-Embodiment, BridgeData V2, DROID, RT-1, robomimic, and Behavior Transformers.
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