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The arms race around robot foundation models has just welcomed a new player. A joint team from Peking University, Tsinghua University, Galaxy General, and Zhiyuan Institute has introduced LDA-1B, pushing parameter size directly to the billion scale. Behind this number sits a more aggressive idea: stop focusing only on expert demonstration data. Those “garbage data” pieces that used to be thrown into the recycle bin might actually be the nutrients robots really need. The traditional training path for robots is straightforward—find a skilled operator, record their actions, and let the robot learn by imitation. This behavior cloning approach has been widely used by OpenAI and Google DeepMind. But the problem […]

This isn’t a joke — it actually happened. A company known for video technology has built a general-purpose “brain” for robots. Different from traditional specialized robot brains, MotuBrain not only has the ability to predict and simulate the world, but can also output action instructions. It truly achieves the idea of “knowing and doing as one.” The model is called MotuBrain. In mid-April, it quietly topped two international benchmarks, yet no one knew where it came from. People in the embodied AI field speculated for three weeks. Now, Shengshu Technology has stepped forward to claim it. Yes — the same company behind Vidu. MotuBrain Tops Two Benchmarks Simultaneously One benchmark

Recently, a series of developments across the industry have outlined a clear trend: embodied intelligence is moving away from pure “visual simulation” and is formally stepping into a new stage of “spatial understanding.” Not long ago, the global embodied world model benchmark WorldArena released its latest rankings. The newest embodied world model, FlowWAM, developed by Fifth Age, successfully reached the top of the WorldArena leaderboard thanks to its outstanding performance in physical and spatial understanding. It demonstrates remarkable accuracy and realism in handling dynamic interactions. Sourse: https://huggingface.co/spaces/WorldArena/WorldArena This dominance once again confirms the rapid rise of embodied world models from China in this field and highlights the industry’s shift toward

Refuses to Reveal Its Name, Yet Tops Two Global Benchmarks These past few days, the world model space has been unusually lively. Fei-Fei Li’s spatial intelligence unicorn World Labs rolled out “Spark 2.0” in a high-profile way, and Alibaba quickly followed with its world model “Happy Oyster.” Almost at the same time, Physical Intelligence also released a new model π 0.7, emphasizing its initial compositional generalization ability on unseen tasks and its cross-robot platform transfer characteristics. This series of moves itself sends a signal: the focus of competition in the industry has shifted from who can do isolated actions, to who is closer to unifying “predicting the world” and “driving

A Chinese team open-sourced LingBot-Map, and with only an ordinary camera, it achieved 10,000-frame streaming 3D reconstruction, drawing 1.2 million viewers across the internet. A camera that costs just dozens of yuan beats LiDAR systems worth tens of thousands. Unexpectedly, the open-sourced LingBot-Map from the Chinese team directly ignited the global robotics community. This is a streaming 3D reconstruction foundation model. With only a single RGB camera—no LiDAR, no depth sensor—it builds a complete 3D map in real time at 20 FPS. The most striking part: even after running continuously for 10,000 frames, the accuracy barely drops. An AI researcher at Agility Robotics said, “I’ve been waiting for this day