Distributed spatial awareness for robot swarms

Area of Science:

• Robotics
• Artificial Intelligence
• Distributed Systems

Background:

• Swarm robotics relies on coordination.
• Existing methods often require high bandwidth or complex computation.
• A distributed frame of reference is needed for advanced swarm behaviors.

Purpose of the Study:

• To develop a distributed spatial awareness system for robot swarms.
• To enable new swarm algorithms through a shared, swarm-centric reference frame.
• To achieve this with low communication and computation overhead.

Main Methods:

• Utilized local robot observations and Gaussian belief propagation.
• Implemented continuous swarm movement for dynamic reference frame updates.
• Validated the system through simulations and real-world robot experiments.

Main Results:

• Successfully built a global, distributed swarm-centric frame of reference.
• Demonstrated the feasibility of new swarm algorithms using this frame.
• Achieved reliable performance even with imperfect robot sensing.

Conclusions:

• Distributed spatial awareness is achievable in robot swarms.
• The proposed method offers a low-resource solution for swarm coordination.
• This framework supports the development of novel, complex swarm behaviors.