Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics
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客座社论关于机器人抓取基准、协议和指标的公开讨论
DOI：
10.1109/tase.2018.2871354
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发表时间：
2018
影响因子：
5.6
通讯作者：
Falco, Joe
中科院分区：
文献类型：
--
作者：
Mahler, Jeffrey;Platt, Rob;Rodriguez, Alberto;Ciocarlie, Matei;Dollar, Aaron;Detry, Renaud;Roa, Maximo A.;Yanco, Holly;Norton, Adam;Falco, Joe
自动抓取具有悠久的研究历史，由于工业界的兴趣而不断增加。机器人面临的一个巨大挑战是通用拣选：在不同环境中稳健地抓取各种物体的能力，从仓库到装配线再到家庭。尽管许多研究人员现在公开共享代码和数据，但由于假设和实验方案的变化，比较和/或复制实验结果以确定哪种方法的哪些方面效果最好是具有挑战性的，例如，传感器、照明、机器人手臂、夹具和物体。
Automated grasping has a long history of research that is increasing due to interest from industry. One grand challenge for robotics is Universal Picking: the ability to robustly grasp a broad variety of objects in diverse environments for applications from warehouses to assembly lines to homes. Although many researchers now openly share code and data, it is challenging to compare and/or reproduce experimental results to identify which aspects of which approaches work best due to variations in assumptions and experimental protocols, e.g., sensors, lighting, robot arms, grippers, and objects.