XUZHOU, China, June 8, 2026 /PRNewswire/ -- XCMG recently launched XCMG CONNECT globally during the 8th XCMG International Customer Festival in Xuzhou. From equipment monitoring to AI-assisted diagnosis and global service coordination, XCMG CONNECT supports smarter, faster, and more connected equipment management for global users.
Built around XCMG ONE, Maia, and HANYUN OS, XCMG CONNECT connects equipment, data, service, and jobsite management into one digital service ecosystem through XCMG's "one body, two wings" digital architecture.
One unified portal connecting every global customer, one smart matrix powering every construction scenario
Maia, XCMG's multilingual and collaborative AI intelligent agent, combines deep learning with engineering expertise to deliver equipment diagnostics, automated fault detection, and data‑driven operational optimization. Accessible via XCMG's self‑developed AI smart screen, Maia offers natural human‑machine interaction like a dedicated engineering expert accompanying every customer.
XCMG ONE is a dedicated mobile application designed for overseas end users, integrating the core capabilities of the Maia intelligent agent to drive the digital transformation from traditional equipment management to AI-powered smart services. Through XCMG ONE, customers can access full lifecycle intelligent services including equipment monitoring, work order management, fault alerts, service maintenance, real-time industry updates, and global coordination — all from a single device.
As a unified global portal, the app connects every customer, every machine, and every jobsite across the world, from rotary drilling rigs and mining equipment to oil-pipe pump trucks. With XCMG ONE, all processes are literally "at your fingertips."
Meanwhile, HANYUN OS is the intelligent backbone of XCMG's service ecosystem, unifying 18 major construction scenarios into a smart digital matrix that connects equipment, jobsites, and management. This enables data to grow and be reused across applications. The result is higher efficiency (shorter cycles, smoother workflows, less idle time), cost optimization (lower OPEX, less fuel, fewer breakdowns, less on‑site labor), and enhanced safety (fewer accidents, real‑time alerts, standardized operations) to empower every jobsite worldwide.
"XCMG will continue to deepen the integration of AI and construction machinery, enabling smart services to reach across oceans and making global collaboration more seamless and responsive. Looking ahead, we look forward to joining hands with every customer and every partner to build a smarter, more efficient, and more boundless industrial ecosystem, achieving true value win-win in the digital era," said Yang Dongsheng, Chairman of XCMG Group and XCMG Machinery.
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Connect Every Customer, Every Machine, Every Jobsite: XCMG CONNECT Reshapes Industrial Service Ecosystem
BEIJING, June 8, 2026 /PRNewswire/ -- Amap, Alibaba's location-based services platform, today announced the launch of ABot-Earth0.5, the world's first 3D native city-scale world model, offering a cost-effective and efficient alternative to traditional 3D city modelling.
Trained entirely on 3D data, ABot-Earth0.5 is ready for deployment in fields such as embodied AI and physical AI.
The ABot-Earth0.5 model supports multimodal inputs, including images and text. With a single satellite image or text prompt, it can generate a high-fidelity, kilometer-scale 3D urban scene in approximately 10 minutes on a consumer-grade GPU. This represents a 1,000x leap in production efficiency at roughly 1% of the cost of conventional approaches.
Traditional 3D city modelling has long relied on a "capture-then-reconstruct" workflow, which involves aerial data collection followed by 3D structures extraction from 2D imagery. This process is resource-intensive, dependent on specialized equipment and manual refinement, and typically takes a few hours to several days to model just one square kilometre.
ABot-Earth0.5 takes a fundamentally different approach. By training directly on 3D data, the model achieves an intrinsic understanding of three-dimensional space, enabling the end-to-end generation of ready-to-render scenes in 3D Gaussian Splatting (3DGS) format. The outputs can be seamlessly integrated into mainstream engines, including Unity and Unreal Engine, for immediate production deployment.
On the engineering side, Amap developed a first-of-its-kind compression-generation framework that encodes high-quality real-world 3DGS scenes into a compact latent space. This is complemented by a sliding-window inference mechanism that supports continuous, wide-area scene generation, as well as a multi-level-of-detail (LOD) decoder designed to ensure smooth rendering across varying viewing distances.
This technological shift repositions 3D city modelling from a resource-intensive undertaking to a more accessible, scalable capability. Amap noted the technology is poised to drive growth across a range of downstream industries, including embodied AI, the low-altitude economy and 3D gaming creation, while also supporting emergency response by creating disaster scenes in 3D in an instant.
Amap has already deployed the model in embodied AI applications. A city-scale simulation training ground built on ABot-Earth0.5 has reduced the construction cycle for virtual environments from days to minutes, bridging a vital data gap for open-world AI training. The debut of Amap Tutu, a fully autonomous quadruped robot designed for open environments, is a prime real-world use case demonstrating this technology in action.
ABot-Earth0.5 is now open for beta testing. Developers and enterprise users can apply through the official channel at abot-earth.amap.com.
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Alibaba's Amap Unveils ABot-Earth0.5 3D Native World Model for City-Scale Modeling
