Stories about 具身智能团队
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神秘具身团队又放出一连串很炸的Demo视频…自进化模型，技术路线曝光
AI InsightThe mysterious team's one-shot demos showing real-time physical disturbance response suggest a shift in embodied AI from action imitation to physical law understanding. If zero-shot claims hold, this is a real leap in generalization, not just a show.Key TakeawayEmbodied AI is shifting from data-driven imitation learning to physics-grounded understanding.Why It MattersMainstream VLA and WAM models fail in physical inference scenarios like occlusion and contact. If this new route is verified, it could break the generalization bottleneck and reshape the commercialization speed and scenario boundaries of embodied AI.Who's Affected- Embodied AI Research CommunityA new physics-based approach could inspire multiple validation and follow-up directions.
- Vla-Based Robotics StartupsIf verified, existing VLA routes relying on massive data collection may need reassessment.
- Robot ManufacturersNo major hardware changes required, but algorithm upgrades may drive new demand.
What's NextWatch for whether the team releases technical papers, code, or third-party independent evaluations; also monitor the open-street robot test to see if disturbance resistance and zero-shot performance can be replicated.Importance 68/100