LimX Dynamics

Headlines · 4

1. 4d
   FluxVLA Engine V2 expands the embodied AI development stack

   LimX Dynamics updated the open-source FluxVLA Engine V2 technical report, adding online reinforcement-learning post-training, broader simulation evaluations, inference optimization, and deployment testing across ALOHA, Rebot, dual-arm Franka, and LimX Oli. The project reports that SmolVLA improved by 10.0 percentage points on LIBERO-10 and 15.4 points on ten RoboTwin Clean tasks after task-specific PPO post-training, while optimized inference paths across eight model-device combinations ran 2.31 to 9.64 times faster. The stack also supports multiple VLA architectures, including OpenVLA, π0.5, DiT4DiT, GR00T, and API-only policies, through shared data, training, evaluation, inference, and deployment workflows.

   雷峰网 AI · 🔥 0
2. 4d
   Humanoid robot boom meets commercialization reality

   创业邦科技 reports that China’s embodied-intelligence sector recorded 322 financing events worth RMB 93.5 billion in the first half of 2026, while the number of companies valued at RMB 10 billion or more rose from three to at least 22. The column also cites more than 20 robotics companies entering bankruptcy, dissolution, liquidation, or business-line closure between February 2025 and September 2026, and reports that several large orders did not translate into substantial operating results. It says demand remains concentrated in research, commercial performances, and data collection, while some unnamed investors have stopped submitting humanoid-robotics projects for approval after Unitree’s listing.

   创业邦 科技 · 🔥 0
3. 6d
   MoSense Completes 100-Million-Yuan-Level Angel-Plus Round

   36Kr reported that MoSense, a whole-body multimodal fused tactile-sensing solutions company, recently completed an angel-plus financing round described as 100 million yuan in size. CDH Investments and Oasis Capital led the round, with participation from LimX Dynamics, Loongson VC, CASVC, Huashan Capital, Pudong Venture Capital, and an unnamed domestic embodied-technology company. The exact amount and the identity of the unnamed participant were not disclosed.

   36氪快讯 · 🔥 0
4. Oct 11
   Baize Tongjing releases abductive world model AWM and edge engine BAIZ-RUN

   Baize Tongjing, a Hefei-based company founded less than six months ago by a team from USTC, has published a paper titled "Abductive World Modeling via Causal Representation Learning" and open-sourced its code, saying its AWM model not only predicts future states but also asks what caused them, decomposing a scene into entities, dynamics and relations. The company says AWM reached a 75% success rate on the Push-T robotic manipulation task with only 2,000 training trajectories, versus 14,728 for the comparison method Causal-JEPA, and about 92% when given the same 14,728 trajectories. Its companion edge inference engine BAIZ-RUN quantizes weights to 2 bit and activations to 4 bit; the team reports a 2.56x reduction in memory use, a 94.6% increase in inference frequency and under 1% accuracy loss on an AMD Radeon edge integrated GPU with the SSV2 dataset. The company also says it has signed and validated three industrial scenarios — loading/unloading, quality inspection and plant patrol — and closed a first funding round of tens of millions of RMB within three months of founding, with backers including SMIC Capital and a market-oriented fund whose LP is Ke Da Silicon Valley.

   机器之心 · 🔥 0

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