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. 2020 Oct 8;14:51. doi: 10.3389/fnbot.2020.00051

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Copyright © 2020 Li, Cao, Qu, Hu, Wang and Liang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Single-grasping Annotations: (A) Good-grasping parallelogram annotations on original objects' event data; (B) Bad-grasping parallelogram annotations on original objects' event data. There are five typical objects selected, and there are four sampled time points in each recorded moving period. The first column presents the real grasping objects in traditional RGB image; the rest columns present the annotations and original objects' event data. The red edges present the grasping edge; and the green edges present the auxiliary edges.