Physical AI News (Japan)

Physical AI, robotics and compute — reported from Japan.

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Wanjie Laser Shows “Tunjing” Series at Industry Fair, Visualizes Point Clouds for Embodied Intelligence

Wanjie Laser showcased several core lidar products, including its “Tunjing” series, at the 26th China International Industry Fair, which opened on October 12, 2026. The company brought technology developed through industrial sensing to embodied intelligence and highlighted a real-time point-cloud demonstration. At the exhibition, the company described how the system maps the contours, positions and spatial relationships of the surrounding environment into point clouds, drawing interest in equipment selection and system integration.

What happened

leaderobot.com reported on October 13, 2026, that Wanjie Laser showcased several core lidar products, including its “Tunjing” series, at the 26th China International Industry Fair, which opened on October 12, 2026. The display was at booth 7.1H-C302 at the National Exhibition and Convention Center in Shanghai, where the company demonstrated its work for embodied intelligence through a real-time point-cloud demo.

Why it matters

Wanjie Laser’s move to bring its industrial laser technology to embodied intelligence points to business opportunities not only in robot hardware but also in components for sensing, safety protection and mapping. The company highlighted real-time point-cloud generation with its “Tunjing” series. Adoption in the field is likely to depend on sensing accuracy and integration with other equipment.

Analysis

What is new about this exhibition is that Wanjie Laser connected its existing range of industrial laser products to a real-world embodied intelligence demonstration, rather than presenting them simply as sensing components. The “Tunjing” series’ point-cloud capabilities were central to the display, which focused not on a flashy concept announcement but on how to perceive the surrounding environment and translate that into implementation. In other words, the focus appears to be less on the robot itself and more on how to provide the input layer for spatial recognition in an industrial context. Compared with our related stories, JD Logistics announces plan to accelerate physical AI and report on talent movement in the embodied intelligence industry, this development involves a company in the field sensing layer, rather than capital or talent. JD Logistics is closer to the adopter of robot fleets, while Wanjie Laser is positioned to provide the “visualization” that comes before deployment. Taken together with Qiteng Robotics’ release of an industrial embodied intelligence platform, the developments suggest that China’s embodied intelligence industry is moving beyond control and platforms to address how sensing, mapping and safety protection are divided among providers. From an industry-structure perspective, Wanjie Laser lists JD Logistics, Hangcha, Hikvision and KION among its existing customer applications, suggesting that its technology has been positioned as a sensing component for warehouse transport and automated guided vehicles. The exhibition can be understood as an attempt to extend those existing applications to embodied intelligence, but which models are suitable for which uses, and to what extent, remains an open question. Key factors to assess include point-cloud accuracy, adaptation to environmental changes, integration with other sensors and costs at scale. See the original source for details.

Implications for Japan

In Japan’s industrial robotics and warehouse automation sectors, sensing components and integration technologies for LiDAR, AMRs and AGVs are often competitive factors. Wanjie Laser’s move to expand from industrial sensing to embodied intelligence suggests that requirements in China could extend further to sensing and safety protection, with implications for companies in the related component supply chain.

Sources

Translated from the Japanese original: /news/man-shuu-geki-hikari-kouhaku-kai-de-buta-sei-shiriizu-wo-ten-e4c449. The Japanese version is authoritative if they differ.