Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty

This article develops a stochastic programming framework for multiagent systems, where task decomposition, assignment, and scheduling problems are simultaneously optimized. The framework can be applied to heterogeneous mobile robot teams with distributed subtasks. Examples include pandemic robotic s...

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Veröffentlicht in:	IEEE transactions on robotics 2023-04, Vol.39 (2), p.1087-1105
Hauptverfasser:	Fu, Bo, Smith, William, Rizzo, Denise M., Castanier, Matthew, Ghaffari, Maani, Barton, Kira
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Coordination Decomposition Heterogeneous multiagent systems Multi-robot systems Multiagent systems pandemic robotic services Pandemics Resource management Robot kinematics Robot sensing systems Robots Robustness Routing scheduling and coordination Stochastic programming stochastic vehicle routing problem task allocation Task analysis Task complexity Task scheduling Teams Uncertainty
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