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ACE ROBOTICS Open-Sources Real-Time Generative World Model Kairos 3.0-4B
Jumat, 13 Maret 2026 | 21:52
In A800 GPU benchmarks, Kairos 3.0-4B achieves order-of-magnitude breakthroughs in compute efficiency and inference speed
SHANGHAI, CHINA -
Media OutReach Newswire
- 13 March 2026 - ACE ROBOTICS announced the open-source release of
Kairos 3.0-4B, the industry's first native world model for embodied
intelligence to realize unified "multi-modal
understanding-generation-prediction" within a single architecture. As
the technical cornerstone of the company's "Human-Centric" ACE Embodied
Intelligence R&D Paradigm, Kairos 3.0-4B is designed from the ground
up for real-world robotic operation — integrating physical laws, human
behavior, and real robot actions to deliver physics-consistent deep
understanding of the real world.
The prevailing approach to embodied world models has largely involved
retrofitting general-purpose large language or vision models with motion
interfaces. Kairos 3.0-4B takes a fundamentally different path. Rather
than appending motion capabilities onto existing model architectures, it
is built from the architectural level around the fundamental physical
and causal laws that govern real-world environments, constructing a
unified world-understanding framework capable of cross-embodiment
generalization. By embedding causal reasoning chains directly into its
decision-making process, the model transcends behavioral imitation and
achieves what ACE ROBOTICS defines as physical-level deep understanding —
enabling robots to not only know what to do, but to understand why. Its
core breakthrough lies in the deep integration of three categories of
data: real robot interaction data, structured human behavioral data, and
chain-of-thought reasoning data, effectively breaking down multi-source
data barriers and significantly improving the reuse efficiency of
real-world data.
A landmark achievement of this release is Kairos 3.0-4B's real-time edge
deployment capability. Deployed on the NVIDIA Jetson Thor T5000
platform at 517 TFLOPs, it is the world's first embodied world model to
achieve real-time generation on edge hardware — achieving a 1.5x
faster-than-real-time generation speed on the THOR platform — and the
first capable of directly driving physical robot bodies for real-world
task execution through native edge deployment. The model issues
full-body control commands spanning upper limbs, fingers, and lower
limbs without intermediate control layers, enabling robots to move from
"capable of performing" to genuinely "capable of working."
Kairos 3.0-4B also delivers a breakthrough in long-horizon interaction.
By combining its unified architecture with Agent-based hierarchical
planning and a self-reflective iterative optimization mechanism, the
model generates coherent future-state predictions up to 7 minutes in
length while maintaining full scene coherence and physical fidelity
throughout — setting a new industry benchmark for long-horizon embodied
interaction and opening new pathways for embodied intelligence training
and deployment.
On the A800 GPU benchmark, Kairos 3.0-4B's inference speed surpasses
NVIDIA Cosmos 2.5 by 72 times, setting a new global performance record
for embodied world models. This performance is delivered with a
lightweight footprint of just 4B parameters and 23.5GB of VRAM — a
fraction of Cosmos 2.5's 70.2GB requirement — demonstrating that
efficiency and capability need not be in tension and fundamentally
challenging the assumption that larger parameters are a prerequisite for
superior performance. The model has also achieved top rankings across
three authoritative global benchmarks: PAI-Bench-robot, co-developed by
Georgia Tech and CMU; WorldModelBench-robot TI2V, introduced at CVPR
2025; and NVIDIA GEAR Lab's DreamGen Bench, outperforming all evaluated
models on physical consistency and instruction-following metrics.
Supporting seamless cross-embodiment deployment across single-arm,
dual-arm, and dexterous hand configurations with no additional
per-embodiment training required, Kairos 3.0-4B is compatible with major
hardware platforms including Agilex PIPER, Unitree G1, and Galaxy G1.
Kairos 3.0-4B is now available on Github (
https://github.com/kairos-agi/kairos-sensenova) and Hugging Face
(https://huggingface.co/kairos-agi/kairos-sensenova-common).
https://www.linkedin.com/company/acerobotics/posts/'feedView=all&viewAsMember=true|
https://x.com/ace_robotics
BERITA LAINNYA
BERIKAN KOMENTAR