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CALU: collision avoidance with localization uncertainty (demonstration)
Pages: 1495 - 1496
Published: Jun 4, 2012
Abstract
CALU is a multi-robot collision avoidance system based on the velocity obstacle paradigm. In contrast to previous approaches, we alleviate the strong requirement for perfect sensing (i.e. global positioning) using Adaptive Monte-Carlo Localization on a per-agent...
Paper Details
Title
CALU: collision avoidance with localization uncertainty (demonstration)
Published Date
Jun 4, 2012
Pages
1495 - 1496
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