ACE ROBOTICS today announced that its open-source Kairos world model has achieved leading results across four global embodied-intelligence benchmarks: RoboTwin 2.0, LIBERO-Plus, WorldModelBench Robot and DreamGen. As of June 12, 2026, Kairos ranked first among evaluated world models and vision-language-action (VLA) systems on these benchmarks' public leaderboards, demonstrating core capabilities in complex robotic manipulation, scene-level generalization, physical-world modeling and zero-shot transfer. The project is openly available on GitHub, Hugging Face and ModelScope.
Embodied intelligence faces a fundamental challenge: generalization. Robots must operate reliably in unseen environments, adapting to new lighting, layouts, objects and noisy conditions. While VLA models have become a prevailing approach by mapping perception and language inputs directly to actions, ACE ROBOTICS believes world models offer a more scalable path by explicitly learning the underlying dynamics of the physical world. Kairos is designed to validate that approach.
One of Kairos' most significant results comes from LIBERO-Plus, a scene-level generalization benchmark proposed by the Shanghai Innovation Institute with Fudan University, Tongji University and the National University of Singapore. It evaluates robustness under seven real-world variables: camera angle, robot embodiment, language instruction, lighting, background, sensor noise and spatial layout. Kairos achieved an overall score of 89.0, ranking first among all evaluated models, surpassing leading VLA models including ACoT-VLA (88.0), Pi 0.5 (85.7) and ProGAL-VLA (85.5). It showed near-ceiling performance on lighting (97.7), noise (96.8) and background (95.8). According to ACE ROBOTICS, this marks the first time a world-model approach has outperformed leading VLA systems on LIBERO-Plus for scene-level generalization, pointing to a path where robots adapt to homes, factories and retail spaces with less retraining.
On WorldModelBench Robot, a physical-modeling benchmark from UC Berkeley, UC San Diego, NVIDIA and MIT, Kairos-4B achieved an overall score of 9.30 with only 4 billion parameters, outperforming larger systems including 28-billion-parameter Lingbot and 16-billion-parameter Cosmos 3. It matched the top instruction-following score of Cosmos 3 with about one quarter of the parameters, a fourfold efficiency gain. Kairos scored perfectly on Newtonian mechanics, gravity and temporal quality.
ACE ROBOTICS attributes Kairos' performance to its native unified "multi-modal understanding-generation-prediction" architecture, which integrates these functions within a single backbone sharing one global world state. The company first introduced this architecture in December 2025, and the broader industry is converging on a similar path: NVIDIA's Cosmos 3.0, introduced in 2026, adopts a comparable single-system design. Built on this foundation, Kairos-4B is described as the first embodied world model able to drive a physical robot directly on-device.
Kairos also ranked first on DreamGen Bench, a benchmark led by NVIDIA with the University of Washington, UC Berkeley and UCLA, measuring synthetic data transfer to unseen objects and environments. On RoboTwin 2.0, a dual-arm manipulation benchmark from Shanghai Jiao Tong University and the University of Hong Kong, Kairos scored 96.1% — a state-of-the-art result — ahead of VLA models such as G0.5 (93.2) and starVLA (88.3).
Together, these results validate Kairos' technical direction across core dimensions of embodied intelligence, supporting ACE ROBOTICS' aim to move robots beyond task imitation toward physical-world understanding. The results come as ACE ROBOTICS accelerates commercialization, having raised several hundred million U.S. dollars in the first half of 2026, including a recent Angel+ round backed by Dachen Caizhi, Shenzhen Capital Group and the Shanghai Sci-Tech Innovation Fund. The proceeds will support continued world-model research and integrated hardware-software solutions for sectors including smart retail, security and inspection, tourism and hospitality.
