Abstract
Mutual knowledge of state information among robots is a crucial requirement for solving distributed control problems, such as coverage control of mobile sensing networks. This paper presents a strategy for exchanging state estimates within a robot team. We introduce a deterministic algorithm that broadcasts estimates of nearby robots more frequently than distant ones. We argue that this frequency should be exponentially proportional to an importance function that monotonically decreases with distance between robots. The resulting location-based algorithm increases propagation rates of state estimates in local neighborhoods when compared to simple flooding schemes.
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Julian, B.J., Schwager, M., Angermann, M., Rus, D. (2010). A Location-Based Algorithm for Multi-Hopping State Estimates within a Distributed Robot Team. In: Howard, A., Iagnemma, K., Kelly, A. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13408-1_29
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DOI: https://doi.org/10.1007/978-3-642-13408-1_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13407-4
Online ISBN: 978-3-642-13408-1
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