LARS: Light Augmented Reality System for Swarm
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
- Year
- 2024
- Access
- Open access
Abstract
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.
Keywords
Related papers
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002
Swarm Intelligence
Eric Bonabeau, Marco Dorigo, Guy Théraulaz
1999
Design and use paradigms for gazebo, an open-source multi-robot simulator
Nathan Koenig, A. Howard
2005
Swarm robotics: a review from the swarm engineering perspective
Manuele Brambilla, Eliseo Ferrante, Mauro Birattari +1 more
2013