| Document Date: 2013-09-11 11:51:39
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City Atlanta / New York / / Company Aa Ab / Distributed Autonomous Robotics Systems / / Country United States / / Facility Stanford University / University of Minnesota / McGill University / / IndustryTerm subgradient search / final utilities / robotic sensor networks / robot utilities / utilities ui / time-optimal solutions / time solution / subgradient search method / mobile robotic networks / search task / primal solutions / feasible solutions / iterative search algorithm / energy / / Organization School of Computer Science / Stanford University / McGill University / University of Minnesota / / Person B. Grocholsky / V / Ai / L. Pimenta / V / Enrico Mattei / / Position central planner / designer / player / / Product Carlsson / / ProvinceOrState Minnesota / / PublishedMedium The American Mathematical Monthly / / SportsLeague Stanford University / / Technology proposed algorithm / load balancing / Section III-A. This algorithm / Monte Carlo algorithm / http / iterative search algorithm / SIMULATION / same algorithm / pdf / / URL http /
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Fair subdivision of Multi-Robot Tasks Juan Camilo Gamboa Higuera1 , and Gregory Dudek1 . Abstract— We study the problem of distributing a single global task between a group of heterogeneous robots. We view this problem