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Hose task at the 2013 DARPA Robotics Challenge trials: Team ViGIR's results video

机译:ViGIR团队的成绩视频在2013 DARPA机器人挑战赛试验中的软管任务:

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Summary form only given. Team ViGIR entered the 2013 DARPA Robotics Challenge (DRC) with a focus on developing software to enable an operator to guide a humanoid robot through the series of challenge tasks emulating disaster scenarios. We designed our operator control station (OCS) to allow multiple operators to request and share information as needed to maintain situational awareness under bandwidth constraints, while directing the robot to perform tasks with most planning and control taking place onboard the robot. Given the limited development time we leveraged a number of open source libraries in both our onboard software and our OCS design; this included significant use of the Robot Operating System (ROS) libraries and toolchain. The DRC consisted of 8 tasks; this video shows our approach for the Hose task, where the remote operator guides the robot through the OCS to walk towards a reel to pick up a hose, then walk with the hose towards a wye and attach the hose to it. Synchronized footage from both, Hose scenario and screen cast of the OCS, shows step by step how the operator interacts with the robot through template based manipulation and high level semantic commands like defining waypoints or objects to be grasped.
机译:仅提供摘要表格。 ViGIR团队参加了2013年DARPA机器人挑战赛(DRC),重点是开发软件,使操作员可以指导人形机器人完成一系列模拟灾难场景的挑战任务。我们设计了操作员控制站(OCS),以允许多个操作员根据需要请求和共享信息,以在带宽限制下维持态势感知,同时指导机器人执行大部分在机器人上进行的计划和控制任务。由于开发时间有限,我们在板载软件和OCS设计中都利用了许多开源库。这包括大量使用机器人操作系统(ROS)库和工具链。刚果民主共和国由八项任务组成;此视频显示了我们执行“软管”任务的方法,其中远程操作员引导机器人通过OCS,以向卷轴走去拿起软管,然后将软管与Y型臂一起行走并将软管连接到其上。来自OCS的Hose场景和屏幕投射的同步镜头逐步显示了操作员如何通过基于模板的操作和高级语义命令(如定义航点或要抓取的对象)与机器人进行交互。

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