Workcell Obstacle Mapping Standard (CAD-to-Occupancy Grid Conversion Guide)
The Workcell Obstacle Mapping Standard (CAD-to-Occupancy Grid Conversion Guide) is a formalized methodology for transforming high-fidelity CAD models of robotic workcells into discrete, resolution-aware 2D or 3D occupancy grids suitable for real-time motion planning and collision avoidance. It defines consistent preprocessing steps, voxelization rules, coordinate frame alignment protocols, and semantic labeling conventions to ensure geometric fidelity, computational tractability, and interoperability across robot planning stacks. The standard bridges offline engineering design (CAD) with online perception-aware navigation by enforcing deterministic, repeatable conversion from boundary-representation (B-rep) geometry to probabilistic or binary occupancy states.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Offline path validation for collaborative robots (cobots)
- ✓ Digital twin–enabled safety verification prior to physical deployment
- ✓ Multi-robot coordination in shared manufacturing workcells
📐 Key Formulas
Grid Resolution Selection
Δ = min(0.5 × w_min, d_safe / 4)
Determines optimal grid cell size Δ (in meters) based on smallest robot link width w_min and minimum safe clearance d_safe
Occupancy Probability (Probabilistic Variant)
P_occ(v) = 1 − exp(−k × V_intersect(v) / V_cell)
Computes occupancy probability for voxel v using intersected solid volume V_intersect(v), cell volume V_cell, and material-dependent attenuation factor k
Coordinate Frame Alignment Error Bound
||T_CAD→base − T_measured→base||_F ≤ ε_T
Frobenius norm constraint on transformation matrix error ε_T (typically < 0.002 m RMS) to guarantee sub-millimeter pose fidelity
🔗 Related Concepts
📚 References
📐 Prerequisites
Understand these before this topic
🔗 Engineering Applications
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