Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities
- URL: http://arxiv.org/abs/2602.07924v1
- Date: Sun, 08 Feb 2026 11:46:40 GMT
- Title: Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities
- Abstract summary: This paper formulates the Human-Robot Co-Dispatch Facility Location Problem (HRCD-FLP)<n>It is a capacitated facility location variant incorporating tiered infrastructure criticality, human-robot supervision ratio constraints, and minimum utilization requirements.<n>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.
- Score: 0.9668407688201359
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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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