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Data-Driven Configuration of Protective Separation Zones in Collaborative Robot Cells from Operator Occupancy

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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.

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11/6
  1. arXiv Robotics — research abstractsSignal
    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.

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