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Computer Science > Robotics

arXiv:2403.16275 (cs)
[Submitted on 24 Mar 2024 (v1), last revised 8 Oct 2025 (this version, v3)]

Title:M^3RS: Multi-robot, Multi-objective, and Multi-mode Routing and Scheduling

Authors:Ishaan Mehta, Junseo Kim, Sharareh Taghipour, Sajad Saeedi
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Abstract:Task execution quality significantly impacts multi-robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi-robot, multi-objective, and multi-mode routing and scheduling (M3RS) problem, designed for time-constrained missions. In M3RS, each task offers multiple execution modes with varying resource needs, durations, and quality levels, allowing trade-offs across mission objectives. M3RS is modeled as a mixed-integer linear programming (MIP) problem and optimizes task sequencing and execution modes for each agent. We apply M3RS to multi-robot disinfection in healthcare and public spaces, optimizing disinfection quality and task completion rates. Through synthetic case studies, M3RS demonstrates 3-46$\%$ performance improvements over the standard task allocation method across various metrics. Further, to improve compute time, we propose a clustering-based column generation algorithm that achieves solutions comparable to or better than the baseline MIP solver while reducing computation time by 60$\%$. We also conduct case studies with simulated and real robots. Experimental videos are available on the project page: \href{this https URL}{this https URL}.
Comments: Under review
Subjects: Robotics (cs.RO)
Cite as: arXiv:2403.16275 [cs.RO]
  (or arXiv:2403.16275v3 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2403.16275
arXiv-issued DOI via DataCite

Submission history

From: Ishaan Mehta [view email]
[v1] Sun, 24 Mar 2024 19:47:37 UTC (14,362 KB)
[v2] Thu, 31 Oct 2024 19:45:39 UTC (2,399 KB)
[v3] Wed, 8 Oct 2025 16:08:40 UTC (2,204 KB)
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