Users want a low-barrier physical platform to learn and experiment with reinforcement learning and sim-to-real robot control.
Current alternatives are pure simulation environments (e.g., MuJoCo) or expensive research robots; the former lacks physical feedback, the latter is too costly.
Traditional robot research platforms are expensive (e.g., Reachy 2 at ~$70k) and require specialized knowledge and equipment, making them inaccessible to hobbyists.