Bin Picking by Robot Arm Based on Object Position and Pose Recognition

We propose a bin picking system for objects using a position and pose recognition method based on AI image processing. The image of objects is captured by a monocular camera and the position and pose of objects in the image are recognized using YOLOv8. Using the recognition results, the picking motion is determined, and the robot arm (DOBOT Magician) executes the bin picking task. To evaluate the object recognition accuracy and motion control stability of the bin picking system, the determined motions were executed multiple times on randomly arranged bolts in an experiment.

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Publication Details

Journal
Journal of Signal Processing
Published
2025-06-30
DOI
https://doi.org/10.2299/jsp.29.131
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Bin Picking by Robot Arm Based on Object Position and Pose Recognition

Hiroshi Suzuki, Kohei Matsumoto, Takashi Yasuno, Takahiro Kitajima et al.
Journal of Signal Processing
Robot Manipulation and Learning
article

Bin Picking by Robot Arm Based on Object Position and Pose Recognition

Hiroshi Suzuki, Kohei Matsumoto, Takashi Yasuno, Takahiro Kitajima, Akinobu Kuwahara
article en

Abstract

We propose a bin picking system for objects using a position and pose recognition method based on AI image processing. The image of objects is captured by a monocular camera and the position and pose of objects in the image are recognized using YOLOv8. Using the recognition results, the picking motion is determined, and the robot arm (DOBOT Magician) executes the bin picking task. To evaluate the object recognition accuracy and motion control stability of the bin picking system, the determined motions were executed multiple times on randomly arranged bolts in an experiment.

Journal of Signal ProcessingVol. 29(4)
Tokushima University (JP)
Openalex Percentile: Top 83%
Robot Manipulation and Learning
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