HomeArticle

SKAI Intelligence participated in the Chinese version release of the whitepaper *Industrial-Grade Physical AI Empowering High-Precision Manufacturing* at the 2026 WAIC, and held a strategic cooperation signing ceremony with ABB Robotics.

未来一氪2026-07-21 12:05
At the 2026 WAIC, SKAI participated in the white paper release and signed a strategic cooperation agreement with ABB.

On July 18, representatives from all parties jointly launched the release of the Chinese version of the whitepaper at the ABB Robotics booth; ABB Robotics and SKAI Intelligence announced their strategic partnership through an on-site signing ceremony.

  • During the 2026 World Artificial Intelligence Conference, SKAI Intelligence participated in the release ceremony of the Chinese version of the whitepaper Industrial Physical AI Empowering High-Precision Manufacturing at the ABB Robotics booth.
  • Representatives from ABB Robotics, Deloitte, AsiaInfo, and SKAI Intelligence took the stage together to kick off the release of the Chinese version of the whitepaper.
  • ABB Robotics and SKAI Intelligence held a strategic cooperation signing ceremony, announcing their strategic partnership focused on industrial physical AI, robot vision, RobotStudio, and high-precision synthetic data generation pipelines through on-site signing and a group photo with handshakes.

Shanghai, July 18, 2026 — SKAI Intelligence today announced that during the 2026 World Artificial Intelligence Conference (WAIC), the company participated in the release ceremony of the Chinese version of the whitepaper Industrial Physical AI in High-Precision Manufacturing: From Digital Engineering to Deployment Readiness at the ABB Robotics booth, and held a strategic cooperation signing ceremony with ABB Robotics.

At the release ceremony of the Chinese version of the whitepaper, representatives from ABB Robotics, Deloitte, AsiaInfo, and SKAI Intelligence took the stage together to launch the release of the Chinese version of Industrial Physical AI Empowering High-Precision Manufacturing. This ceremony marks that the physical AI methodology for high-precision manufacturing proposed in the whitepaper has further entered the Chinese industrial context, providing a reference for Chinese manufacturing enterprises, automation ecosystem partners, and AI technology enterprises to understand and evaluate the implementation path of industrial physical AI.

The whitepaper Industrial Physical AI Empowering High-Precision Manufacturing was jointly released by ABB Robotics and NVIDIA, with Deloitte, AsiaInfo, and SKAI Intelligence participating as major contributors. The whitepaper focuses on the implementation of Physical AI in the high-precision manufacturing industry, pointing out that the manufacturing industry is shifting from fixed automation to a physical AI stage based on robot vision and supported by digital engineering. The whitepaper emphasizes that the implementation of industrial physical AI does not rely on a single model or a single robotic technology, but requires connecting robotic systems, AI computing, simulation, digital twins, synthetic data, data governance, robot vision, and on-site feedback into a verifiable, deployable, and scalable engineering system.

The release of the Chinese version further reinforces the whitepaper's core viewpoint on "Deployment Readiness". For robot vision AI in high-precision manufacturing scenarios, model accuracy is only a necessary condition. What truly determines whether a system can be put into a real production line is whether it has undergone sufficiently complex, traceable training, verification, and risk identification close to real production conditions before deployment. Therefore, the whitepaper expands the discussion of physical AI from model capabilities themselves to the system capabilities composed of digital engineering, simulation verification, synthetic data, and on-site feedback.

On the same day, ABB Robotics and SKAI Intelligence also held a strategic cooperation signing ceremony at the ABB Robotics booth. Senior executives from both sides announced the cooperative relationship established based on the previous strategic cooperation agreement through on-site signing and a group photo with handshakes. This on-site signing ceremony aims to further present the cooperation direction of ABB Robotics and SKAI Intelligence in the engineering implementation of industrial physical AI, robot vision, and synthetic data.

According to the strategic cooperation agreement previously signed by both parties, the cooperation will focus on the ABB RobotStudio and SKAI Intelligence high-precision synthetic data generation pipeline, with an emphasis on promoting the verification and introduction of physical AI technology in industrial manufacturing environments. Specific directions include the development of industrial robot simulation scenarios, evaluation of synthetic data generation processes, robot vision AI training and verification, as well as deployment preparation and technical exchanges for real manufacturing scenarios.

SKAI Intelligence's technical contributions focus on industrial-grade digital twins, task-level synthetic data, automatic annotation, and the Real2Sim2Real engineering closed loop. By bringing low-frequency variables, boundary conditions, and failure modes that are difficult to collect in a timely manner in real production lines into the digital engineering stage in advance, SKAI Intelligence supports robot vision AI to complete more adequate training, verification, and deployment preparation before entering the production site.

Jay Lee, Co-Founder and CEO of SKAI Intelligence, stated: "The two activities held on-site at WAIC today represent two levels of industrial physical AI implementation respectively: the release of the Chinese version of the Industrial Physical AI Empowering High-Precision Manufacturing whitepaper is the dissemination of methodology and industry consensus in the Chinese industrial context; the strategic cooperation signing ceremony between ABB Robotics and SKAI Intelligence is an important step to advance this methodology to engineering verification and industrial application."

Jay Lee added: "Before robot vision AI in high-precision manufacturing can truly enter production lines, what it needs is not just model capabilities, but a data closed loop composed of digital twins, synthetic data, simulation verification, and on-site feedback. Through cooperation with ABB Robotics, SKAI Intelligence hopes to connect high-precision synthetic data generation capabilities more closely with the industrial robot digital engineering environment, helping manufacturing enterprises identify risks, verify models, and improve deployment readiness earlier before introducing the systems into real production lines."

This on-site WAIC event connects the release of the Chinese version of the whitepaper with the public announcement of the strategic partnership between ABB Robotics and SKAI Intelligence, reflecting the advancement path of industrial physical AI from methodological consensus to engineering cooperation. SKAI Intelligence will continue to focus on industrial-grade digital twins, task-level synthetic data, and the Real2Sim2Real data closed loop to support the training, verification, and deployment of robot vision AI in high-precision manufacturing scenarios.

The Chinese version of the Industrial Physical AI Empowering High-Precision Manufacturing whitepaper will be available for access through official ABB Robotics channels. https://campaign-ra.abb.com/l/961042/2026-07-10/5w7sxv

About SKAI Intelligence

SKAI Intelligence is a technology company focused on digital twins and industrial synthetic data infrastructure. It is committed to helping manufacturing enterprises build an end-to-end data infrastructure for robot vision AI from training, verification to deployment through industrial-grade digital twins, task-level synthetic data, automatic annotation, and Real2Sim2Real engineering methods. SKAI Intelligence is an official NVIDIA ISV (Independent Software Vendor) partner and builds digital twin and physical simulation capabilities based on NVIDIA Omniverse.