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Winning ARIAC 2020 by KISSing The BEAR: Keeping things simple in Best Effort Agile Robotics
Robotics and Computer-Integrated Manufacturing ( IF 9.1 ) Pub Date : 2021-04-13 , DOI: 10.1016/j.rcim.2021.102166
Attila Vidács , Géza Szabó

In this paper we discuss our evolved understanding on the meaning of agile robotics. The lessons learned are concluded from the four years of our participation in ARIAC, the Agile Robotics for Industrial Automation Competition, that we managed to win in 2020. After elaborating on ARIAC tasks, challenges and scoring and their consequences on algorithm design, error handling and software development processes and methodologies, we introduce the concept of Best Effort Agile Robotics (BEAR). The conclusions are mapped to agility standardization directions. The concept of Best Effort Robotics (BER) is also proposed and discussed, highlighting the similarities with best effort networking, a proven concept in Internet technology.



中文翻译:

亲亲熊,赢得ARIAC 2020大奖:尽力而为,敏捷机器人

在本文中,我们讨论了我们对敏捷机器人技术含义的不断发展的理解。从我们参加ARIAC(工业自动化敏捷机器人大赛)的四年中总结的经验教训,我们在2020年赢得了胜利。详细阐述了ARIAC的任务,挑战和评分及其对算法设计,错误处理和解决方案的后果软件开发过程和方法,我们介绍了尽力而为敏捷机器人技术(BEAR)的概念。结论被映射到敏捷性标准化的方向。还提出并讨论了“尽力而为”机器人技术(BER)的概念,着重强调了与尽力而为网络的相似之处,这是Internet技术中公认的概念。

更新日期:2021-04-13
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