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Automation in sustainment cannot assume a fixtured part in a known position. SPIDER delivers AI-driven 3D model generation, markerless localization, and robotic path planning, so robotic systems locate the asset and plan against its actual geometry. No fixtures, no markers, no dedicated tooling.
SPIDER enables fast 3D mapping, segmentation, markerless localization, and intelligent robotic path planning for automated industrial processes.
Robotic automation is mature in production. It remains rare in sustainment. Production lines fixture the part, so the robot’s path is fixed. Depot and MRO work sees the same part number in different conditions and positions, unit to unit, often with repairs and modifications that are not in the CAD. SPIDER generates a 3D model of the asset as it sits, localizes it without markers, and plans the robotic path against that model.
KEY CHALLENGES ADDRESSED:
AI-Driven Spatial Mapping
SPIDER generates a 3D digital twin of the asset from COTS devices, with object recognition and automatic segmentation. Robotic pathways are planned against that model rather than a nominal CAD file.
Enhanced Automation
Paint, blast, and grind operations run where fixtured tooling is impractical and operator exposure is a concern. SPIDER gives the robotic system the spatial awareness to work these processes on assets that are not fixtured.
Improved Human-Machine Collaboration
SPIDER tracks the asset and the operator in a shared spatial model, so robotic systems and personnel work the same cell. Collision boundaries update as the scene changes.
Object recognition and segmentation that feed robotic path planning directly.
3D model generation and localization at a fraction of traditional time and cost.
On-premises, secure government or private cloud, or fully disconnected.
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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