LARS: A Light-Augmented Reality System for Collective Robotic Interaction

Area of Science:

• Robotics
• Human-Computer Interaction
• Education Technology

Background:

• Collective robotics systems offer significant potential for education and public engagement.
• A key barrier is the lack of accessible tools to visualize complex, embodied interactions in these systems.

Purpose of the Study:

• To introduce the Light-Augmented Reality System (LARS), an open-source, marker-free, cross-platform tool for collective robotics research, education, and outreach.
• To enable indirect robot-robot communication via stigmergy while maintaining physical and sensing constraints.
• To improve robot-human interaction by making hidden information visible.

Main Methods:

• LARS utilizes Extended Reality (XR) to project dynamic visual objects into the physical environment.
• The system is designed to be low-cost, easily deployable, and platform-independent, requiring no hardware modifications.
• Real-time projection of visible information facilitates reproducible experiments.

Main Results:

• LARS effectively bridges the gap between abstract collective dynamics and observable behavior.
• The system enhances understanding of multi-robot interactions for both researchers and the public.
• Demonstrated utility as a research tool and an engagement platform for collective robotics.

Conclusions:

• LARS provides an accessible and flexible platform for illustrating complex collective robotics behaviors.
• The system promotes hands-on learning and expands public understanding of collective, embodied intelligence.
• LARS is a valuable tool for advancing research, education, and outreach in collective robotics.