Precision Transfer & Assembly
Built around the R-series arms, lift platforms, and controller hardware for precision transfer, assembly, and surface-treatment stations.
Start by deciding between precision workcells, mobile collaboration, and embodied development, then move into the matching products and proof cases.
The page is reduced to 3 clear entry points, each tied directly to representative applications and related products.
Built around the R-series arms, lift platforms, and controller hardware for precision transfer, assembly, and surface-treatment stations.
Built around the M / MR families for in-factory logistics, cross-station transfer, and linked robotic work.
Built around MR3T, VR / master-slave teleoperation, and the drawing platform for dual-arm operation, training, and research validation.
Once the direction is confirmed, move through combination design, validation, and rollout.
These are the questions customers most often ask in AI search and early qualification, answered directly.
The page is currently organized into three directions: precision transfer and assembly, mobile transfer and composite work, and embodied development with teleoperation validation. Each direction maps directly to current product combinations, representative applications, and proof videos.
Projects focused on high-speed pick-and-place, precision assembly, loading, unloading, or surface treatment usually start with R-series arms, lift platforms, and controller hardware. This direction is more sensitive to takt time, positioning accuracy, and workstation coordination.
These solutions typically combine M / MR mobile bases or composite robots with controller hardware, navigation, and station-level interface design. They fit in-factory logistics, cross-station transfer, and mobile manipulation workflows.
The usual path is to confirm the task target, space limits, payload, and takt first, then combine the body, controller, and expansion modules, and finally move into pre-validation and rollout. That helps expose interface boundaries earlier and reduces on-site iteration.