Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment

Author:

Dyrstad Jonatan S.,Bakken Marianne,Grotli Esten I.,Schulerud Helene,Mathiassen John Reidar

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital twin model construction of robot and multi-object under stacking environment for grasping planning;Applied Soft Computing;2023-12

2. Bin-Picking in the Industry 4.0 Era;2023 IEEE International Conference on Consumer Electronics (ICCE);2023-01-06

3. Detection of Unsorted Metal Components for Robot Bin Picking Using an Inexpensive RGB-D Sensor;2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA);2022-09-06

4. Modular Robots for Enabling Operations in Unstructured Extreme Environments;Advanced Intelligent Systems;2022-01-30

5. Instance Segmentation of Low-texture Industrial Parts Based on Deep Learning;2021 IEEE International Conference on Mechatronics and Automation (ICMA);2021-08-08

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