编队控制算法评估的多机器人模拟器

Aakash Soni, Huosheng Hu
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引用次数: 1

摘要

自动驾驶/无人驾驶能够提供许多好处,例如更好的交通管理、提高安全性、减少排放和增强交通网络。一旦自动地面车辆(agv)被部署,它们将不得不与其他此类车辆进行交互。多agv之间的交互是agv算法/控制方案性能分析的一个重要研究领域。由于成本和复杂性,用自动驾驶汽车团队进行真实世界的实验是一项具有挑战性的任务。另一方面,与真实世界的机器人测试相比,仿真可以模拟现实,并提供廉价且更节省时间的开发过程。为此,开发了多机器人导航仿真工具。该模拟器基于开源机器人操作系统(ROS)和本地支持的机器人模拟器Gazebo。
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A multi-robot simulator for the evaluation of formation control algorithms
Autonomous/unmanned driving has the capability to provide numerous benefits such as better traffic management, increased safety, reduced emission, and enhanced transportation network. Once autonomous ground vehicles (AGVs) are deployed, they will have to interact with other such vehicles. Interaction between multiple AGVs is an important area of research where analysis on the performance of algorithms/control schemes of AGVs is carried out. Performing real-world experiments with teams of autonomous vehicles is a challenging task due to cost and complexity. On the other hand, a simulation can emulate reality and provide an inexpensive and less time-consuming development process compared to the real world robots’ testing. Therefore, a simulation tool is developed for multi-robot navigation. This simulator is based on open-source Robot Operating Systems (ROS) and natively supported robotics simulator Gazebo.
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