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.cpp File Reference

Implementation of EnvBrain, environment logic and utilities for the robot arena. More...

#include "envbrain.h"

Detailed Description

Implementation of EnvBrain, environment logic and utilities for the robot arena.

Handles collective environment modeling, heatmap processing, noise management, and geometric utilities.