Towards applied swarm robotics: current limitations and enablers

Area of Science:

• Robotics
• Artificial Intelligence
• Decentralized Systems

Background:

• Swarm robotics research often uses simulations or limited small-scale robots.
• Current limitations hinder widespread commercial and industrial swarm robotics applications.
• A lack of affordable, robust, and modern platforms is a key barrier to deployment.

Purpose of the Study:

• To argue for the development of advanced robotic platforms for swarm robotics.
• To advocate for a broader interpretation of swarm robotics applications.
• To identify pathways for successful real-world deployment of robot swarms.

Main Methods:

• The paper proposes incorporating state-of-the-art technologies like SLAM, computer vision, and reliable communication.
• It suggests a wider definition of swarm robotics to expand its scope.
• Focuses on enabling practical deployment in real-world scenarios.

Main Results:

• Development of advanced platforms can overcome current limitations.
• A broader definition expands potential swarm robotics applications.
• Integration with existing systems facilitates real-world task execution.

Conclusions:

• Advanced robotic platforms and a broader definition are crucial for swarm robotics advancement.
• These advancements will enable robot swarms to address diverse real-world challenges.
• This approach paves the way for successful commercial and industrial adoption of swarm robotics.