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SHANGHAI, CHINA – Media OutReach Newswire – 15 June 2026 – 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. Kairos ranked first among evaluated world models and vision-language-action (VLA) systems on these benchmarks’ public leaderboards as of 12 June 2026, leading across the core capabilities of embodied intelligence, including complex robotic manipulation, scene-level generalization, physical-world modeling and zero-shot transfer. The project is openly available on GitHub, Hugging Face and ModelScope, giving researchers and developers a public reference point for the model, benchmark results and technical materials.

Tops Four Leading Benchmarks in World Generation & Prediction
Tops Four Leading Benchmarks in World Generation & Prediction

Embodied intelligence faces a fundamental challenge: generalization. A robot must operate reliably in environments it has never seen, adapting to new lighting, layouts, objects, embodiments and noisy real-world conditions. While VLA models have become a prevailing approach by directly mapping perception and language inputs to robot actions, ACE ROBOTICS believes world models offer a more scalable path by explicitly learning the underlying dynamics of the physical world and predicting how environments evolve. Kairos is designed to validate that approach.

Leading scene-level generalization on LIBERO-Plus

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 world models and VLA systems. It surpassed leading VLA models including ACoT-VLA (88.0), Pi 0.5 (85.7) and ProGAL-VLA (85.5), as well as the Being-H0.7 world model (84.8). It also showed strong environmental robustness, with near-ceiling performance on lighting (97.7), noise (96.8) and background (95.8), and ranked highly on camera angle and language instruction.

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, retail spaces and other environments with far less environment-specific retraining.

A compact model with strong physical modeling efficiency

On WorldModelBench Robot, a physical-modeling benchmark proposed by researchers from UC Berkeley, UC San Diego, NVIDIA and MIT, Kairos-4B achieved an overall score of 9.30, ranking first on the benchmark. With only 4 billion parameters, it outperformed larger systems including 28-billion-parameter Lingbot, 16-billion-parameter Cosmos 3, 14-billion-parameter Abot-PhysWorld and 5-billion-parameter Wan 2.2, setting a new record for parameter efficiency in embodied world models.

Kairos matched the top instruction-following score (2.36) of the 16-billion-parameter Cosmos 3 with about one quarter of the parameters, a fourfold efficiency gain. It scored 4.96 on physics adherence, with perfect marks on Newtonian mechanics and gravity, and a perfect score on temporal quality, reflecting strong temporal consistency and visual continuity over long horizons.

A unified architecture, not a modular pipeline

ACE ROBOTICS attributes Kairos’ performance to its native unified “multi-modal understanding-generation-prediction” architecture. Unlike modular approaches that stitch together separate components for world understanding, generation and prediction, Kairos integrates these within a single backbone that shares one global world state, reducing the information loss and coordination latency between modules for more consistent physical modeling, stronger long-horizon prediction and more reliable action planning.

ACE ROBOTICS first introduced this architecture in December 2025, and the broader industry is now converging on a similar path: NVIDIA’s Cosmos 3.0, introduced in 2026, adopts a comparable single-system design that brings vision reasoning, world generation and action prediction into one architecture. Built on this foundation, Kairos-4B is, in ACE ROBOTICS’ description, the first embodied world model able to drive a physical robot directly on-device, closing the perception-to-action loop without intermediate translation latency.

Leading on synthetic data transfer and complex robot manipulation

Kairos also ranked first on DreamGen Bench, a benchmark led by NVIDIA with the University of Washington, UC Berkeley and UCLA that measures how well synthetic data generated by world models transfers to unseen objects, behaviors and environments, a key predictor of downstream robot-training value. Kairos ranked first on both average physics adherence (AVG_PA 0.538) and overall average score (AVG_Score 0.618), and led globally on new-behavior execution and new-environment adaptation.

On RoboTwin 2.0, a demanding dual-arm manipulation benchmark proposed by Shanghai Jiao Tong University and the University of Hong Kong with Shanghai AI Laboratory, Kairos scored 96.1% — a state-of-the-art result on the benchmark’s public leaderboard as of 12 June 2026. Across the benchmark’s 50 complex two-arm tasks it scored 96.9% in clean scenarios and 95.2% in randomized scenarios, ahead of VLA models such as G0.5 (93.2) and starVLA (88.3) and world models including AIM (93.1), Fast-WAM (91.8) and MotuBrain (96.0).

From benchmark leadership to commercial deployment

Together, these results validate Kairos’ technical direction across the core dimensions of embodied intelligence, from physical-rule understanding and zero-shot generalization to environmental robustness and fine-grained dual-arm manipulation, supporting ACE ROBOTICS’ aim to move robots beyond task imitation toward physical-world understanding, long-horizon reasoning and real-world execution.

The results come as ACE ROBOTICS accelerates commercialization. The company says it has raised several hundred million U.S. dollars across financing rounds in the first half of 2026, including a recent Angel+ round backed by investors such as Geely Capital, Dachen Caizhi, Shenzhen Capital Group and the Shanghai Sci-Tech Innovation Fund, with existing shareholder SenseTime’s Guoxiang Capital increasing its stake. The proceeds will support continued world-model research and integrated hardware-software solutions for sectors including smart retail, security and inspection, tourism and hospitality.

“Embodied intelligence is the next era of AI, and a world model is the key to unlocking it,” said Wang Xiaogang, Chairman of ACE ROBOTICS. “Our mission is to give every robot a capable brain.”

Kairos is openly available on GitHub, Hugging Face and ModelScope:
https://github.com/kairos-agi/kairos-sensenova
https://huggingface.co/kairos-agi
https://modelscope.cn/collections/kairos-team/kairos30

Hashtag: #ACEROBOTICS


The issuer is solely responsible for the content of this announcement.

About ACE ROBOTICS – Equipping robots with intelligent “brains” and engaging “souls”

ACE ROBOTICS is a pioneering robotics company dedicated to advancing the field of embodied intelligence. Through breakthrough technological innovations and deep insights into embodied intelligence scenarios, we aim to empower robots with the ability to autonomously understand and explore the physical world, thereby accelerating their commercial implementation.

The company pioneered the ACE R&D paradigm and built a vision-based “environmental data engine, real-world cognition, embodied interaction generalization” technology chain. Using full spatiotemporal and multi-perspective environmental capture as its engine, along with Kairos 3.0 – China’s first open-source and commercially applicable world model – plus the Embodied Foundation Model as its technical backbone, ACE ROBOTICS addresses core industry challenges such as data scarcity, common sense gaps, poor generalization, and limited versatility. Simultaneously, the company unveiled its flagship A1 Embodied Super Brain Module, accelerating the large-scale commercial deployment of embodied intelligence across diverse scenarios.

ACE ROBOTICS is both a technology pioneer and an ecosystem builder. Through strategic cooperation with top hardware manufacturers, cloud service providers, and vertical scenario partners, we have broken through the “model-hardware-scenario” industrial deadlock, providing standardized and customized solutions that are driving the development of China’s embodied intelligence industry.

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Taiwan is moving to anchor its alliance with Paraguay through a data-centre project expected to require at least $200 million in its first phase, tying diplomatic survival to artificial intelligence, clean energy and strategic infrastructure.

The plan, centred on a sovereign AI computing facility in Paraguay, gives Taipei a rare large-scale investment platform in South America as Beijing intensifies pressure on Asunción to cut formal ties. Paraguay remains Taiwan’s only diplomatic partner on the continent and one of just 12 governments worldwide that maintain official relations with Taipei.

The project emerged from a memorandum signed in Taipei during President Santiago Peña’s visit to Taiwan, where he met President Lai Ching-te and senior technology officials. The proposed centre is intended to combine Taiwan’s computing and semiconductor expertise with Paraguay’s abundant hydroelectric power, a resource the Peña administration wants to convert into higher-value digital services.

Paraguay’s authorities have described the first stage as a 10-megawatt data centre focused largely on state use, including secure processing of public records, health data, tax systems and other sensitive government information. Investment for that phase has been estimated at between $200 million and $300 million. Officials have also outlined broader ambitions for later stages that could lift power demand to 100 megawatts and eventually 1,000 megawatts, though those targets remain politically and commercially demanding.

The initiative is being framed by both governments as a sovereign AI project rather than a conventional colocation facility. That distinction is important for Asunción, which wants to avoid being seen merely as a low-cost power host for foreign cloud companies. The official pitch is that Paraguay would retain strategic use of the computing capacity while Taiwan helps provide technology, financing channels and international credibility.

For Taiwan, the political stakes are clear. Paraguay established diplomatic relations with Taipei in 1957 and has resisted repeated calls to recognise Beijing. China claims Taiwan as part of its territory and rejects any formal state-to-state relationship with the island. Taipei rejects Beijing’s sovereignty claim and has sought to hold its remaining partners by shifting assistance from grants and symbolic diplomacy towards trade, investment, technology and education.

Peña has defended the relationship as one based on democracy, freedom and institutions, saying the partnership must produce tangible opportunities for Paraguayans. During the Taipei visit, he also reiterated support for Taiwan’s participation in international organisations and criticised pressure directed at the island. Beijing responded sharply, urging Paraguay to “stand on the right side of history” and sever ties with Taipei.

The diplomatic contest has domestic resonance in Paraguay. Agribusiness exporters and some opposition figures have long argued that formal ties with Taiwan limit access to China’s vast market, particularly for soybeans and beef. Peña’s government is trying to counter that argument by showing that the Taiwan relationship can deliver higher-value investment, technology transfer and market access, including Taiwan’s decision to open its market to Paraguayan poultry.

The data-centre proposal fits into a wider push to position Paraguay as a digital infrastructure hub. The country draws most of its electricity from major hydroelectric assets, including Itaipú and Yacyretá, giving it one of the cleanest power profiles in the region. That advantage is attracting interest from data-centre developers, crypto-mining firms and AI infrastructure companies seeking cheap, low-carbon electricity at a time when demand for computing power is rising worldwide.

Yet the plan faces serious tests. Data centres require not only electricity, but firm grid delivery, fibre connectivity, cooling systems, specialised construction, cybersecurity rules and skilled engineers. Paraguay’s digital workforce remains limited, and critics have questioned whether the country can support an AI facility on the scale described by officials. Energy planners also face pressure to balance industrial demand against future domestic consumption and export commitments.

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The order, received on June 8 from CC7 Emirates Engineering Solutions L. L. C., covers design, engineering, manufacture, procurement and supply on a Free Carrier basis. JNK India will also provide assistance, charged on a per diem basis, for erection, commissioning and witnessing of performance tests at the ADNOC-linked project in Abu Dhabi.

The contract has been classified by the company as a “large” order, a category it defines as being worth between ₹100 crore and ₹300 crore. While the exact contract value has not been disclosed, the award is material for a specialised engineering business operating in a segment where project references, technical qualification and delivery record strongly influence future bidding opportunities.

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Arvind Kamath, chairperson and whole-time director of JNK India, said the award marked an encouraging start to FY27 and reinforced the company’s ability to compete in international markets. He said the order reflected its engineering capability, manufacturing strength and execution record in complex industrial solutions, while also strengthening its presence in the waste gas handling segment.

The mandate is significant because incinerator packages are not commodity supplies. They require detailed thermal design, material selection, safety compliance and integration with broader plant systems. Performance testing is also critical, as waste gas handling equipment must function reliably under varied operating conditions and meet the technical specifications set by the main contractor and project owner.

CC7 Emirates Engineering Solutions is linked to the wider CC7 engineering group, which has been active in large chemical and industrial projects. Its role in the TA’ZIZ Salt Project gives JNK India access to a major Gulf industrial platform at a time when the region is expanding petrochemical, hydrogen, low-carbon ammonia and specialty chemicals capacity.

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