RealMan Robotics unveils W1 automatic picking robot at CeMAT ASIA 2026, supports coordinated operation of up to 50 units

leaderobot.com reported on November 3, 2026, that RealMan Robotics unveiled its W1 automatic picking robot at CeMAT ASIA 2026. The W1 is said to support coordinated operation of up to 50 units, and the company demonstrated three approaches at the exhibition: GLN remote operation, W1 autonomous operation and coordination among multiple units.

According to leaderobot.com, the W1 supports coordinated operation of up to 50 units, and RealMan Robotics also demonstrated remote and autonomous operation. For warehouse operators, adoption decisions depend not only on the capabilities of individual robots but also on how group control and remote management can be applied to existing work environments. The report does not establish throughput or operational results in live deployments.

The report focuses not only on the W1’s individual capabilities but also on how group operation of up to 50 units and remote operation were presented as part of the same logistics-focused setup. According to the report, RealMan Robotics demonstrated GLN remote operation, W1 autonomous operation and coordination among multiple units. This can be read as an effort to present work instructions, remote operation and fleet management as part of an integrated deployment, rather than simply selling individual robots. However, the reported figure of 50 refers to the supported scale; it should be distinguished from a record of how many units operated simultaneously or what throughput they achieved in an actual warehouse. We covered a report on a robot data training facility in RealMan operates 150 robots at a training facility in Changzhou. We also covered a robotic arm in RealMan Robotics unveils the ECO62 ultra-compact embedded six-axis robotic arm, and introduced an article about data supply in leaderobot.com publishes article on RealMan Robotics’ physical AI data supply. These reports and the latest logistics-focused demonstration concern different elements—robots, remote operation and data from real-world machines—but public information does not establish whether the subjects are actually connected. At the industry level, the specification for group operation of up to 50 units could broaden warehouse deployment from selecting individual equipment to designing systems that include fleet management. The company was also reported to have presented remote operation through a remote work network, collection of data from real-world machines and autonomous robot operation. How to connect data gathered through remote operation to model improvement and to the operation of multiple robots in the field is therefore a key question. However, claims about feeding data from real machines back into models can be assessed only when the data volume, terms of use and improvement results are disclosed. Questions to watch include the number of units deployed and throughput at operating sites, procedures for handling anomalies, compatibility with existing warehouse equipment and the scope of data use. The information currently available is based on secondary reporting and cannot be treated as a record of operational results.