Bin picking approaches based on deep learning techniques: A state-of-the-art survey
Bin picking is a highly researched topic, due to the need for automated procedures in
industrial environments. A general bin picking system requires a highly structured process …
industrial environments. A general bin picking system requires a highly structured process …
Machine learning in production–potentials, challenges and exemplary applications
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN)
Industrial robots have been utilized for factory automation due to their high repeatability.
Along with the development of visual servo and machine learning techniques, various vision …
Along with the development of visual servo and machine learning techniques, various vision …
ContourPose: Monocular 6-D Pose Estimation Method for Reflective Textureless Metal Parts
Z He, Q Li, X Zhao, J Wang, H Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pose estimation is an essential technology for industrial robots to perform precise gripping
and assembly. The state-of-the-art deep learning-based approach uses an indirect strategy …
and assembly. The state-of-the-art deep learning-based approach uses an indirect strategy …
Generic development of bin pick-and-place system based on robot operating system
Bin pick-and-place is an important topic in factory automation and warehouse automation. In
this paper, a bin pick-and-place system based on robot operating system (ROS) is …
this paper, a bin pick-and-place system based on robot operating system (ROS) is …
Autonomous robotic bin picking platform generated from human demonstration and YOLOv5
In mass production, repetitive and labor-demanding processes such as machine tending,
assembly, and packaging have been automated to industrial robots [1]. Recently, demands …
assembly, and packaging have been automated to industrial robots [1]. Recently, demands …
Pickingdk: A framework for industrial bin-picking applications
M Ojer, X Lin, A Tammaro, JR Sanchez - Applied Sciences, 2022 - mdpi.com
This work presents an industrial bin-picking framework for robotics called PickingDK. The
proposed framework employs a plugin based architecture, which allows it to integrate …
proposed framework employs a plugin based architecture, which allows it to integrate …
Bin picking for ship-building logistics using perception and grasping systems
Bin picking is a challenging task involving many research domains within the perception and
grasping fields, for which there are no perfect and reliable solutions available that are …
grasping fields, for which there are no perfect and reliable solutions available that are …
[HTML][HTML] 面向工业零件分拣系统的低纹理目标检测
闫明， 陶大鹏， 普园媛 - 2022 - cjig.cn
目的随着工业领域智能分拣业务的兴起, 目标检测引起越来越多的关注. 然而为了适应工业现场
快速部署和应用的需求, 算法只能在获得少量目标样本的情况下调整参数; 另外工控机运算资源 …
快速部署和应用的需求, 算法只能在获得少量目标样本的情况下调整参数; 另外工控机运算资源 …
Virtual training and commissioning of industrial bin picking systems using synthetic sensor data and simulation
M Metzner, F Albrecht, M Fiegert, B Bauer… - … Journal of Computer …, 2022 - Taylor & Francis
Defined handling of unsorted parts, known as bin picking, is a challenge in robotic
automation. Available solution concepts for this problem are usually either costly or require …
automation. Available solution concepts for this problem are usually either costly or require …