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Automation & Robotics
Spatial AI that gives industrial robots the 3D awareness they need for maintenance and repair.
Painting, de-painting, welding, blasting, and inspection are labor-intensive, hazardous, and dependent on skilled technicians. Robots can take this work on, but every asset enters the work-cell in a different position or condition, so the robot is set up again for each job.
The result: much of the efficiency robotics promises is lost before work begins.
Every job starts with manual setup
A CAD model or generated 3D model of the asset.
Exact position and orientation in the work-cell.
The specific surfaces that need work.
Boundaries for collision-free path planning.
Spatial Intelligence and Dynamic Extended Reality
SPIDER delivers the spatial data robots need automatically, with no markers, fiducials, or manual coordinate programming.
Operators select the area that needs work on the asset or its digital twin. SPIDER turns that selection into robot-ready coordinates.
Sees and maps the asset in 3D
Recognizes and localizes parts
Intuitive operator selection
Generate the 3D digital twin from a COTS device capture or existing CAD.
Recognize the asset in the work-cell with no markers.
Pinpoint parts and regions of interest in real time.
Map the operator’s XR selection into robot space.
Send coordinates to the robot controller over encrypted APIs.
Integrates with your existing robots and controller software through documented APIs.
Runs fully on-premises. No cloud or internet connection required.
Nothing to attach to each vehicle or component before work starts.
Deployed in defense aircraft maintenance and industrial work-cells today.
The same spatial workflow supports the full range of maintenance and repair tasks. One integration covers the labor-intensive and hazardous jobs across the facility.
Tell us about your work-cell and we will follow up.
SPIDER builds a real-time 3D map of the work area, segments objects (3D-SAM), and exports transforms to the robot, which plans and continuously re-plans a collision-free path around a changing floor.
Working from SPIDER’s shared spatial data, the robot positions itself and simulates its next move for review. The technician approves each critical step before it executes, keeping operators out of hazardous, repetitive work.
The robot observes a technician performing a task and learns to mimic it, extending automation to hazardous, remote, or highly repeatable work without hand-coding each motion.
Image: REUTERS/Stringer
SPIDER creates dynamic training environments for human-robot collaboration. Trainees interact with real-time 3D models and sensor feeds, simulating robotic tasks in complex scenarios to enhance skills and safety.
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