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Tangible Robotic Fleet Control: AAMAS Demonstration

机译:有形机器人舰队控制:AAMAS示范

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The use of multi-robot teams for field missions is increasing in number and scope, requiring command and control interfaces to be adapted to the operator's needs. Instead of working on interaction modalities that emerge from the engineering realm (screen, gestures or voice), we look at how the humanitarian and military logistics teams collaborate: using physical maps. In this demo, we present our command center, which consists of a swarm of small tabletop robots used to visualize and control a fleet of flying robots. To ensure the scalabilty and robustness of our control system, we leverage decentralized behaviors written in a swarm-specific programming language. We set an example scenario, where the operator must command the fleet to search an area for simulated features of interest using the tabletop robots over a map. The actions of the operator send the flying robots to individual waypoint targets. Meanwhile, the command center monitors the operator: if he is not alone, he may lack focus, and the fleet thus switches to an autonomous deployment mode until the operator's full attention is back.
机译:使用多机器人团队的字段任务在数量和范围内增加,要求命令和控制接口适应操作员的需求。而不是致力于从工程领域出现的交互方式(屏幕,手势或语音),我们看看人道主义和军事物流团队如何合作:使用物理地图。在这个演示中,我们介绍了我们的指挥中心,由一群小型桌面机器人组成,用于可视化和控制飞行机器人的车队。为确保我们控制系统的爬行型和稳健性,我们利用以群体特定的编程语言编写的分散行为。我们设置了一个示例场景,其中操作员必须使用桌面机器人在地图上搜索舰队以搜索兴趣的模拟特征区域。操作员的行为将飞行机器人发送给单独的航点目标。同时,指挥中心监视操作员:如果他不孤单,他可能缺乏焦点,因此舰队因此切换到自主部署模式,直到运营商的全部关注返回。

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