Shengshu unveils Motus 2, a self-evolving world model hinting at recursive self-improvement
生数科技 · wechat · 2026-09-10
At the 2026 Bund Summit, Shengshu Technology CEO Luo Yihang unveiled Motus 2, a self-evolving general world model for robotic dexterous manipulation, alongside a five-level L1–L5 roadmap for general world models: generating worlds, interacting, acting, autonomous world agents, and world organizers.
- Motus 2 unifies policy, world simulation, and value evaluation in one closed loop: it proposes actions, predicts outcomes, evaluates whether actions approach goals, and refines strategy from feedback — an early form of recursive self-improvement (RSI).
- The model adds tactile feedback and learns from large-scale egocentric human manipulation data, with skills transferable across robots and tasks.
- Luo summarizes the vision as "mind, then dexterity": reasoning before action plus fine control in the real world.
The team says more experimental results and technical details will follow from Sept 12. Open problems toward L4/L5 remain long-horizon memory, physical/causal modeling, online learning, and low-latency deployment.
Related event: Shengshu Unveils Motus2, a Self-Evolving Robot World Model(2 posts)→
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