How can I simulate UAV-AGV pathfinding?
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
This paper introduces SkyRover, a simulator designed for testing pathfinding algorithms for multiple aerial and ground robots (UAVs and AGVs) operating in a shared 3D space. It focuses on the challenges of coordinating heterogeneous agents with different movement capabilities and constraints. Key features relevant to LLM-based multi-agent systems include its modular design, the 3D environment representation, a unified interface for various algorithms (including learning-based approaches), and integrations with existing robotics tools like Gazebo and ROS. This allows for simulating complex scenarios, training and benchmarking multi-agent algorithms (including those powered by LLMs), and bridging the gap between high-level planning and low-level control. This offers a platform for experimenting with LLM-driven multi-agent coordination in realistic simulated environments, which is crucial for tasks like complex task allocation and emergent communication.