Data-Driven Configuration of Protective Separation Zones in Collaborative Robot Cells from Operator Occupancy
Data-Driven Configuration of Protective Separation Zones in Collaborative Robot Cells from Operator Occupancy
This paper presents a camera-based, data-driven method to configure protective separation zones in collaborative robot cells based on observed operator occupancy. By aggregating operator positions into an occupancy heatmap, the method derives a protective field that balances achievable robot velocity against required safety distance according to ISO/TS 15066 principles. The resulting configuration is advisory and reviewed within risk assessment rather than applied autonomously. Evaluated in two operational cells at industrial partners, the approach reduced the protective field by approximately 17% and increased productivity by 9%, though adoption depends on factors beyond these gains.
The study evaluates a camera-based method for configuring protective separation zones in collaborative robot cells using operator occupancy heatmaps, reporting an approximate 17% reduction in zone size and a 9% productivity increase across two industrial partners, while noting that adoption depends on factors beyond demonstrated gains.
Source: arXiv Robotics — research abstracts · Read original article ↗
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arXiv:2611.07621v1 Announce Type: new Abstract: The protective separation zone of a collaborative robot cell is commonly dimensioned for a worst case that disregards where the operator is actually present during the task. This paper presents a camera-based, data-driven method that configures this zone from observed operator occupancy. Operator positions accumulated over several production shifts are aggregated into a
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ine with activity recognition, was evaluated in two operational cells at two industrial partners, where the protective field could be reduced by approximately 17% and a productivity increase of 9% was measured. However, adoption proved to depend on more than the demonstrated gain alone.
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Source：arXiv Robotics — research abstracts · arxiv.org