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arXiv · 2602.07924

Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities

Nur Ahmad Khatim·Mansur Arief
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Abstract

Securing petroleum infrastructure requires balancing autonomous system efficiency with human judgment for threat escalation, a challenge unaddressed by classical facility location models assuming homogeneous resources. This paper formulates the Human-Robot Co-Dispatch Facility Location Problem (HRCD-FLP), a capacitated facility location variant incorporating tiered infrastructure criticality, human-robot supervision ratio constraints, and minimum utilization requirements. We evaluate command center selection across three technology maturity scenarios. Results show transitioning from conservative (1:3 human-robot supervision) to future autonomous operations (1:10) yields significant cost reduction while maintaining complete critical infrastructure coverage. For small problems, exact methods dominate in both cost and computation time; for larger problems, the proposed heuristic achieves feasible solutions in under 3 minutes with approximately 14% optimality gap where comparison is possible. From systems perspective, our work demonstrate that optimized planning for human-robot teaming is key to achieve both cost-effective and mission-reliable deployments.

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Nur Ahmad Khatim, Mansur Arief. 2026-02-08. Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities. https://arxiv.org/abs/2602.07924

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