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A preliminary experiment combining marine robotics and citizenship engagement using imitation learning

机译:用仿制学习结合海洋机器人和公民交流的初步实验

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In this paper, we describe a preliminary experiment of citizenship engagement in the context of marine robotics using imitation learning to train a controller that mimics human behavior. The experiment has been carried out during the Festival della Comunicazione in Camogli, Italy, in September 2019. In more detail, citizens have been asked to pilot a small, light, and safe autonomous surface vehicle in front of a crowded public beach with the goal of performing an S-shaped path. The trajectories and controls performed by non-expert human operators have been recorded with the aim of training an imitation system that, after collecting a sufficient number of trajectory-control pairs, has been able to drive the vehicle without human intervention. To learn the human behavior, echo state networks have been employed as approximating architectures. The resulting controller turned out to be very effective in successfully performing the considered experiment with a reduced amount of training trajectories by imitating the human behavior also in unknown situations. The success of this experiment may pave the way to new research processes where citizens are actively engaged.
机译:在本文中,我们使用模仿学习培训模仿人类行为的控制器的海洋机器人背景下的公民身份参与的初步试验。在2019年9月,在意大利Camogli的节日Della Comunicazione期间进行了该实验。更详细地,公民被要求在一个拥挤的公共海滩前飞行一辆小型,光线和安全的自主地面车辆,其目标执行S形路径。非专家人工人员执行的轨迹和控制已经记录了培训仿制系统的目的,即在收集足够数量的轨迹控制对之后,能够在没有人为干预的情况下驾驶车辆。为了了解人类行为,回声状态网络已被采用为近似架构。结果控制器证明,通过在未知情况下模仿人类行为,成功地执行了具有减少量的训练轨迹的考虑实验。该实验的成功可能会铺平通往公民积极参与的新研究流程。

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