NEXCOM and NexCOBOT Reportedly Showcase RoboWIZ and Four Technology Partners at GTC Berlin

Robotics and Automation News reported on Nov. 14, 2026, that NEXCOM and its robotics subsidiary NexCOBOT showcased the RoboWIZ AI Robotics Platform at NVIDIA GTC Berlin. The showcase took place at the event held in Berlin on Oct. 21-22, with four companies taking part: RealSense, Stereolabs, Synapticon and Reynolds & Moore. NEXCOM's computing platform for robotics is reportedly based on NVIDIA IGX Thor.

According to the report, RoboWIZ is conceived not as a finished robot with a fixed configuration, but as a development platform that combines components, control systems and design services from multiple suppliers. It could give robot developers an option for integrating perception, motion control and safety technologies, but its practical benefits will depend on the connection specifications and validation coverage for each technology.

The notable point in the report is that RoboWIZ is positioned as a development platform for combining components, control systems and design services from different suppliers, rather than as a finished robot with a single fixed configuration. The report names RealSense, Stereolabs, Synapticon and Reynolds & Moore as participating companies, and says NEXCOM's computing platform uses NVIDIA IGX Thor. The reported configuration appears to use the platform and its partner network to address the connections involved in integrating computing, perception, motion control and safety technologies into a robot. However, the article does not specify how the companies' products connect or the extent to which the combinations have been validated. The article says RoboWIZ was first introduced at Automation Taipei in August 2026, and that the GTC Berlin showcase presented its partner network and integrated technologies. This suggests the showcase was less an announcement of a new finished machine than an effort to expand the development environment by adding participating technologies to an existing platform. At the same time, the report says the platform targets humanoids, quadrupeds, mobile manipulators, collaborative robots and autonomous mobile robots. How it can serve this range of applications while offering technologies that can be shared across them remains an open question. We covered NVIDIA's introduction of SOMA Retargeter, which adapts human movements for robots, which addressed an AI method for teaching robot movements. The RoboWIZ article, by contrast, concerns a development platform for integrating technologies from multiple companies into robot systems. These are different layers, and no relationship such as RoboWIZ supporting SOMA Retargeter has been confirmed. Separately, NVIDIA's introduction of a Python inference method using cuDLA on Jetson AGX Orin covered an edge inference implementation method, but the latest article does not describe compatibility or a division of roles with the IGX Thor-based platform. Providing computing hardware and integrating perception, control and safety functions on a physical robot are separate steps. RoboWIZ's value will depend on how specifically it defines the conditions for those integrations. The next points to verify are how each partner's technology connects on physical robots, who is responsible for safety validation during integration, and what developer interfaces and technical support will be available. While the article describes the platform's concept and participating companies, it does not detail the scope of compatibility, performance evaluations or implementation examples. Without that information, it is not possible to determine how much individual integration work the platform could save developers.