LARS: Light Augmented Reality System for Swarm

Fuente: arXiv
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Main Authors: Raoufi, Mohsen, Romanczuk, Pawel, Hamann, Heiko
Format: Preprint
Published: 2024
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author Raoufi, Mohsen
Romanczuk, Pawel
Hamann, Heiko
author_facet Raoufi, Mohsen
Romanczuk, Pawel
Hamann, Heiko
contents We present the Light Augmented Reality System LARS as an open-source and cost-effective tool. LARS leverages light-projected visual scenes for indirect robot-robot and human-robot interaction through the real environment. It operates in real-time and is compatible with a range of robotic platforms, from miniature to middle-sized robots. LARS can support researchers in conducting experiments with increased freedom, reliability, and reproducibility. This XR tool makes it possible to enrich the environment with full control by adding complex and dynamic objects while keeping the properties of robots as realistic as they are.
format Preprint
id arxiv_https___arxiv_org_abs_2411_00007
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LARS: Light Augmented Reality System for Swarm
Raoufi, Mohsen
Romanczuk, Pawel
Hamann, Heiko
Robotics
Human-Computer Interaction
We present the Light Augmented Reality System LARS as an open-source and cost-effective tool. LARS leverages light-projected visual scenes for indirect robot-robot and human-robot interaction through the real environment. It operates in real-time and is compatible with a range of robotic platforms, from miniature to middle-sized robots. LARS can support researchers in conducting experiments with increased freedom, reliability, and reproducibility. This XR tool makes it possible to enrich the environment with full control by adding complex and dynamic objects while keeping the properties of robots as realistic as they are.
title LARS: Light Augmented Reality System for Swarm
topic Robotics
Human-Computer Interaction
url https://arxiv.org/abs/2411.00007