HoloLab Joins Mitsubishi Electric’s MELFA Robot Partner Program, Launches Remote-Operation Software arm-pilot

The focus is on remote operation of non-routine tasks that are difficult to teach robots, and on collecting operation data.

Mitsubishi Electric’s MELFA partner program and HoloLab’s remote-operation software broaden the scope of robot deployment beyond hardware sales to include operation systems and data collection. Because the technology targets dangerous or harsh environments and non-routine tasks, an evaluation criterion will be whether operation records can be used for training, in addition to replacing human labor on-site.

The novelty is not simply the launch of a remote-operation UI, but HoloLab’s entry as a software partner in Mitsubishi Electric’s MELFA program, connecting its operation system to a product-offering framework. arm-pilot itself links XR hand tracking with real-time external control of robots, extending existing technical approaches. HoloLab positions it not only as a way to improve the efficiency of remote work, but also as an entry point for turning operation data into training data. The focus of this announcement is its treatment of teleoperation as a data-collection tool. Related coverage by this newspaper, including Mitsubishi Electric Showcases Screw-Tightening AI at CEATEC and [Mitsubishi Electric Showcases Physical AI at CEATEC 2026, Also Presenting Unmanned Factories and Next-Generation Data Centers](/en/news/mitsubishi-electric-to-showcase-physical-ai-at-ceatec-2026-alongside-l-35a645), showed that Mitsubishi Electric has featured autonomous on-site operations and physical AI in its exhibition themes. HoloLab’s move to join the program can be seen as bringing that vision closer to implementation and deployment support from exhibition demonstrations, although the MELFA models and conditions for use have not yet been specified. The software partner program appears to play a role in bridging the gap between demonstrations and real-world operations. At the industry level, the important point is the integration of robot hardware, control software, XR devices and training-data collection into a single workflow. Remote operation is not merely a substitute for on-site work; it becomes an input process that turns operations into data and connects them to autonomy. Questions include what kinds of tasks arm-pilot can handle, which MELFA control functions it can use, and at what level of detail the collected operation data can be repurposed for physical AI. Key areas to watch include supported models, deployment requirements, safety in real-world environments and data handling.

arm-pilot uses hand tracking on XR devices to make a robot follow the position and posture of the operator’s hands, and works with the real-time external-control function built into MELFA robot controllers. The supported device is Meta Quest 3. HoloLab sees potential uses in remote work in dangerous or harsh environments, small-lot, high-mix non-routine tasks, and collecting operation data for use in training physical AI. The MELFA Robot Partner program provides support from system deployment through maintenance in collaboration with Mitsubishi Electric and partner companies. HoloLab was registered as a software partner, a category covering products such as simulators and analysis tools.

Japanese manufacturing faces the challenge of handling non-routine tasks that are difficult to teach robots. This approach aims to address those tasks through XR-based remote operation and data collection. By combining XR devices and control software with a domestic robot platform such as MELFA, the ability to connect to control functions and handle on-site data is likely to become a competitive factor for Japanese robot system integrators and related software companies.