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- W75210982 abstract "In this chapter we consider the problem of coordinating robotic systems with different dynamics, sensing and vision capabilities, to achieve a unisonmission goal. An approach that makes use of a heterogeneous team of agents has several advantages when cost, integration of capabilities, or possible large search areas need to be investigated. A heterogeneous team allows for the robots to become “specialized” in their abilities and therefore accomplish sub-goals more efficiently which in turn makes the overall mission more efficient. We first propose a prioritized search algorithm combined with communication constraints to provide a decentralized prioritized sensing control algorithm for a heterogenous sensor network that maintains network connectivity. By specifying particular edge weights in the proximity graph, we provide a technique for biasing particular connections within the heterogenous sensor network. Then in the second part of the chapter we show a hierarchical approach to optimally allocate the tasks of a mission to specific agents. We develop a decentralized algorithm based on artificial physics and potential functions to guide the heterogeneous robotic network in the environment while maintaining connectivity constraints. Simulations and an experimental result are provided to show the applicability of the proposed frameworks." @default.
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- W75210982 date "2013-01-01" @default.
- W75210982 modified "2023-09-23" @default.
- W75210982 title "Exploiting Heterogeneity in Robotic Networks" @default.
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- W75210982 doi "https://doi.org/10.1007/978-3-642-33971-4_4" @default.
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