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Embedded Perception & Decision-making for Safe Navigation in Uncertain, Dynamic and Human-populated Environments

Abstract : Invited Talk: Safe robot navigation in Uncertain, Dynamic and Human-populated environments remains an open question, although there are commercial solutions for mobile robots operating in partially controlled environments that avoid interactions with human. This talk present the main limitations of state-of-the-art solutions, before giving an overview of the Bayesian & AI based approaches developed in our research team to solve the underlying problems of Embedded Perception and Decision-making.
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https://hal.inria.fr/hal-03147808
Contributor : Christian Laugier Connect in order to contact the contributor
Submitted on : Saturday, February 20, 2021 - 11:59:42 PM
Last modification on : Thursday, January 20, 2022 - 5:31:12 PM
Long-term archiving on: : Friday, May 21, 2021 - 6:13:03 PM

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Christian Laugier. Embedded Perception & Decision-making for Safe Navigation in Uncertain, Dynamic and Human-populated Environments. Coboteam Workshop on "Robot Navigation", May 2020, Grenoble & On-line event, France. ⟨hal-03147808⟩

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