LARS
LARS (Light Augmented Reality System) is an open-source framework for light-based interaction and real-time tracking in multi-robot experiments. Inspired by ARK, LARS extends the augmented reality paradigm to robotic collectives by projecting dynamic visual cues and environments onto the arena, enabling new experimental possibilities for collective robotics research, education, and outreach. LARS features integrated tracking, light projection, and modular experiment control with a user-friendly Qt GUI.
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envbrain.h File Reference

Declaration of EnvBrain, environment logic module for LARS. More...

#include <QObject>
#include <QtCore>
#include <QTimer>
#include <opencv2/opencv.hpp>
#include <opencv2/cudaarithm.hpp>
#include "ui/worldmodel.h"

Go to the source code of this file.

Classes

class  EnvBrain
 Environment logic and utility class for the robot arena. More...

Detailed Description

Declaration of EnvBrain, environment logic module for LARS.

Provides environment modeling, heatmap management, noise handling, and geometric utilities for the arena.