降低空中机器人比赛的进入门槛

F. J. Pérez-Grau, Pablo León Barriga, A. Viguria
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引用次数: 0

摘要

在日常应用中引入自主空中机器人激发了多种竞赛的出现,这给研究界提出了独特的挑战。与此同时,机器人竞赛是吸引工程专业学生和提高他们技能的绝佳机会,也是最终用户采用最新技术的绝佳机会。然而,团队必须付出的巨大努力阻碍了研究团体的广泛参与。因此,这推动了基于数据集的比赛的到来,在这种比赛中,团队不需要集成和操作实际的空中机器人系统。然而,在这些线下挑战中取得成功并不能确保真正的机器人能像预期的那样工作,因此限制了这些发展的影响。我们提出了一个全面的策略,通过记录和提供在比赛发生的同一环境中的真实数据集来最大化团队参与。可在https://github.com/fada-catec/rami_dataset访问公开可用的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lowering the Entry Barrier to Aerial Robotics Competitions
The introduction of autonomous aerial robots in everyday applications has motivated the emergence of multiple competitions, which propose unique challenges to the research community. At the same time, robotic competitions are excellent opportunities to engage engineering students and improve their skills, and also end users to adopt the newest technologies. However, the high effort that teams must devote prevents the broad participation of the research community. Thus, this has motivated the arrival of dataset-based competitions in which teams do not need to integrate and operate an actual aerial robotic system. Nevertheless, succeeding in these offline challenges does not ensure that real robots will work as expected, hence limiting the impact of the developments. We propose a comprehensive strategy to maximize team participation by recording and providing real datasets in the same environment where the competitions take place. The publicly available datasets can be accessed at https://github.com/fada-catec/rami_dataset.
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