ACE ROBOTICS Unveils Kairos 3.1 and Expands Embodied AI Stack at WAIC 2026

ACE ROBOTICS launched Kairos 3.1, an action-oriented world model, along with Ambient Capture Engine 2.0 and three commercial solutions, advancing embodied AI from data to deployment.

Dallas Metrowire Staff
Technology
ACE ROBOTICS Unveils Kairos 3.1 and Expands Embodied AI Stack at WAIC 2026

ACE ROBOTICS today unveiled Kairos 3.1, its latest action-oriented world model, alongside Ambient Capture Engine 2.0 and three commercial solutions spanning instant retail, hospitality and outdoor service scenarios at the 2026 World Artificial Intelligence Conference (WAIC). The announcement marks a significant step in moving embodied AI from laboratory research to industrial deployment, connecting high-density data with real-world robotic operations.

The company also introduced PHYSICAL IQ, a unified benchmark for embodied physical intelligence, jointly initiated by the Shanghai Artificial Intelligence Association, the Shenzhen Loop Area Institute and the East China branch of the China Academy of Information and Communications Technology, with participation from more than 20 universities and industry partners. This benchmark aims to standardize evaluation of embodied AI systems, addressing a critical gap in the field.

Kairos 3.1 is designed as a natively unified model integrating generative, physical and cognitive intelligence within a single architecture. Built on a hybrid Transformer with a shared mixed-attention mechanism, it brings visual observations, language instructions, force and tactile signals, and policy trajectories into a unified latent space. This supports an "understand, reason, execute and reflect" loop, enabling robots to break down long-horizon tasks, simulate physical cause and effect, rank actions, execute strategies and evaluate outcomes for adjustment.

At its core is ACE-BRAIN-0.5, which has achieved state-of-the-art results across 12 public evaluations covering spatial understanding, navigation, manipulation and task-progress assessment. For physical generation and reasoning, Kairos-HomeWorld supports whole-home scene generation and object interaction, built on 300,000 residential floor plans and 5,000 simulated home environments. The model can simulate multiple action trajectories in parallel and rank them based on predicted success and execution cost before sending instructions to a physical robot.

ACE ROBOTICS also introduced the "Information-Density Law" for embodied models, classifying embodied data across five levels from L1 to L5. Ambient Capture Engine 2.0, built on this principle, includes ACE Ego Kit, a lightweight wireless wearable with the ACE Sense Glove offering sensitivity of 0.01 newtons and joint-angle error under two degrees. The ACE Data Engine automates data production for long-horizon tasks, incorporating ACE-ViDiHand, a generative 4D hand-motion-capture framework that leads three public benchmarks. ACE Ego Matrix standardizes embodied data across four dimensions and has been open-sourced, placing first on the RoboCase and RoboTwin leaderboards.

Three commercial solutions were introduced: Xiaoman for instant retail with the W1 fulfillment robot, Xiaoxin for hotel-laundry operations, and Xiaotu for outdoor service using a "one brain, many bodies" architecture. The W1 robot features a robot-to-payload weight ratio under 2:1 and force-control precision within one newton, suitable for high-density shelving. Xiaoman has been deployed with customers including Sense MartGo, Kuaikeda and PetroChina convenience stores, with plans to deploy across 1,000 retail locations within a year and 10,000 stores within two years.

ACE ROBOTICS also announced strategic collaborations with the Caohejing Development Zone for an embodied AI innovation platform, and partnerships with Baidu AI Cloud, Alibaba Cloud, Huawei Cloud, Tencent Cloud and SenseCore AI Cloud for the World Model Cloud Ecosystem initiative. By connecting high-density data, unified world models, robot platforms, commercial applications and shared evaluation standards, ACE ROBOTICS aims to support the transition of embodied AI from individual demonstrations to sustained real-world operations.

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