Quality-Optimized Spatio-Temporal Task Allocation for Heterogeneous Robot Teams with Time Budget Constraints

Q-ITAGS performs spatio-temporal task allocation for heterogeneous robot teams by optimizing collective task performance while respecting time budget constraints. It explicitly models and learns the relationship between collective robot capabilities and task performance, and uses this to guide an interleaved search for an optimal allocation.