Safety layer for VLA models and humanoid robots. Sub-ms physics guard, ISO-aligned, zero neural nets.
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Updated
Aug 12, 2026 - Python
Safety layer for VLA models and humanoid robots. Sub-ms physics guard, ISO-aligned, zero neural nets.
Deterministic physics safety for embodied AI — beyond statistical safety guards.
Real-time deterministic safety for robotics — sub-millisecond physics judgment at the edge.
Plug-and-play safety plugin for collaborative robots — ISO-aligned, zero neural nets.
Dynamic contact area modeling for robot collision safety — pressure, not just force.
Whole-body safety for humanoid robots — balance, fall detection, and contact physics.
Safety layer for Vision-Language-Action models. Physics guard that catches what VLA misses.
500+ labeled VLA safety scenarios across 7 risk levels — benchmark dataset for safety evaluation.
Physics-based collision detection with dynamic contact area, impulse boundary, and 7-level risk grading.
Complete guide to robot safety standards: ISO 10218, ISO/TS 15066, IEC 61508, ISO 13849, ANSI R15.06.
Deterministic Newtonian safety engine for robotics — force, speed, contact area, all computed.
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