How to build better CAV/robot swarm testbeds?
Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap
This paper proposes a roadmap for developing and using small-scale testbeds for connected and automated vehicles (CAVs) and robot swarms. It addresses the challenges of transferring simulations to reality (Sim2Real), scaling from small to full-scale deployments, and handling real-world uncertainties like unpredictable environments and distributed computing demands.
For LLM-based multi-agent systems, the key takeaways are the importance of high-fidelity simulations, modeling complex multi-agent interactions, addressing communication uncertainties, and establishing standardized frameworks and abstraction layers for interconnecting different testbeds and facilitating collaborative research. The paper emphasizes the need for robust distributed computing solutions under resource constraints, highlighting the relevance for LLM-based agents which may be computationally intensive. The roadmap also stresses the importance of diverse datasets and testbed designs, which is relevant to training and evaluating LLM-based agents in varied real-world scenarios.