Manufacturers in multiple sectors are adopting OpenXR, a royalty-free industry standard for extended reality (XR), to enhance safety and interoperability in human-robot collaboration on factory floors. OpenXR is driving implementation in assembly, material handling, and quality inspection, reducing integration time, expediting collaborative robot (cobot) deployment, and improving task safety.
Background
OpenXR, created by the Khronos Group, is an open-source, royalty-free application programming interface (API) that enables cross-platform operation with virtual reality (VR), augmented reality (AR), and mixed reality devices. The most recent version, 1.1, was released in April 2024. Its vendor-neutral structure mitigates proprietary lock-in and streamlines software development for XR applications in automation.
European efforts, including XR2Industry and MASTER, are advancing OpenXR standards in industry. XR2Industry, backed by Horizon Europe, is building interoperable XR platforms for tasks such as assembly, maintenance, and logistics, leveraging OpenXR and WebXR. The MASTER project is developing an OpenXR-based robotics training platform featuring safe environment creation, adaptable robot programming, and gaze-based interaction.
Details
Industry reports indicate that OpenXR has reduced cobot integration time by supporting unified development workflows across varied hardware. In assembly, XR interfaces superimpose robot trajectories and sensor data, helping operators interpret robot actions and intervene during handoffs. These visualizations expedite onboarding and lower safety risks when humans and robots share workspaces.
A recent Industrial Metaverse study found that integrating XR with blockchain and edge-cloud systems improves perception, decision-making, and control in human-robot assembly. Operators use virtual and augmented environments for real-time planning, narrowing the gap between digital twins and actual production. These integrations enhance automation reliability and facilitate human input.
Manufacturers also apply XR in quality inspection, where AR overlays provide real-time part tolerances and handling instructions inside operators' fields of view. This information-driven method has reduced inspection errors and boosted throughput in test deployments.
Notwithstanding these advances, technical obstacles persist. Maintaining low-latency, high-fidelity data exchange between XR systems and robots demands robust network and system design. Achieving interoperability with diverse robot controllers requires strict compliance with OpenXR standards. Training for XR systems requires considerations for hardware ergonomics, cognitive demands, and safety.
Outlook
Further growth in OpenXR-enabled collaboration will rely on improvements in latency-critical integration and standard-compliant middleware. Industry experts anticipate that wider use could lead to standardized kits for XR-integrated cobot deployment. Forthcoming project calls from XR2Industry and MASTER are expected to produce additional pilot studies and best practices.
