We present the Robotics Intelligent Systems & Control (RISC) Lab multiagent testbed for reliable search and rescue and aerial transport in outdoor environments. The system consists of a team of three multirotor unmanned aerial vehicles (UAVs), which are capable of autonomously searching, picking up, and transporting randomly distributed objects in an outdoor field. The method involves vision based object detection and localization, passive aerial grasping with our novel design, GPS based UAV navigation, and safe release of the objects at the drop zone. Our cooperative strategy ensures safe spatial separation between UAVs at all times and we prevent any conflicts at the drop zone using communication enabled consensus. All computation is performed onboard each UAV. We describe the complete software and hardware architecture for the system and demonstrate its reliable performance using comprehensive outdoor experiments, and by comparing our results with some recent, similar works.
翻译:我们介绍了机器人智能系统与控制(RISC)实验室的多试剂试验台,用于在室外环境中进行可靠的搜索和救援及空中运输,该系统由三组多机器人无人驾驶飞行器组成,能够自动搜索、接收和在室外田地运输随机分布的物体,方法包括基于视觉的物体探测和定位,被动航空捕捉我们的新设计,基于全球定位系统的UAV导航,以及在空投区安全释放物体。我们的合作战略确保无人驾驶航空器之间的安全空间隔离,我们利用通信促成的共识防止在空投区发生任何冲突。所有计算都是在每架无人驾驶飞行器上进行。我们用全面的室外实验来描述整个系统软件和硬件结构,并展示其可靠的性能,同时将我们的结果与最近的一些类似工程进行比较。