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Study of Variational Inference for Flexible Distributed Probabilistic Robotics

By combining stochastic variational inference with message passing algorithms, we show how to solve the highly complex problem of navigation and avoidance in distributed multi-robot systems in a computationally tractable manner, allowing online implementation. Subsequently, the proposed variational...

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Principais autores: Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-03-01
Serier:Robotics
Fag:
distributed robotics
probabilistic robotics
variational inference
message-passing algorithm
stochastic variational inference
Online adgang:https://www.mdpi.com/2218-6581/11/2/38
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