Results 1 to 10 of about 20,053 (133)
Vision-Based 6D Pose Analytics Solution for High-Precision Industrial Robot Pick-and-Place Applications [PDF]
High-precision 6D pose estimation for pick-and-place operations remains a critical problem for industrial robot arms in manufacturing. This study introduces an analytics-based solution for 6D pose estimation designed for a real-world industrial ...
Balamurugan Balasubramanian, Kamil Cetin
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Vision-based manipulation of transparent plastic bags in industrial setups [PDF]
IntroductionThis paper addresses the challenges of vision-based manipulation for autonomous cutting and unpacking of transparent plastic bags in industrial setups, contributing to the Industry 4.0 paradigm. Industry 4.0, emphasizing data-driven processes,
F. Adetunji +20 more
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Pose Estimation of Objects Using Digital Image Processing for Pick-and-Place Applications of Robotic Arms [PDF]
Robot Vision is one of the most important applications in Image processing. Visual interaction with the environment is a much better way for the robot to gather information and react more intelligently to the variations of the parameters in that ...
Firas Hameed, Hasan Alwan, Qasim Ateia
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Background: Order picking process is critical for accurate and efficient order fulfilment. Pick-by-vision is a promising technology that may support order picking process, however there is still a limited amount of research concerning the impact of this ...
Nikolaos Chondromatidis +2 more
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Development of a SCARA robot arm for palletizing applications based on computer vision [PDF]
This paper develops a computer vision system integrated with a SCARA robot arm to pick and place objects. A novel method to calculate the 3D coordinates of the objects from a camera is proposed.
Ho Vinh Nguyen +2 more
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In this work, we developed electrically controlled nanotweezers, which are capable of picking, moving, and placing a single sub-50 nm particle precisely and repeatably in ambient air.
Ya-Kun Lyu +4 more
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Grasping Complex-Shaped and Thin Objects Using a Generative Grasping Convolutional Neural Network
Vision-based pose detection and grasping complex-shaped and thin objects are challenging tasks. We propose an architecture that integrates the Generative Grasping Convolutional Neural Network (GG-CNN) with depth recognition to identify a suitable grasp ...
Jaeseok Kim +3 more
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Design a low-cost delta robot arm for pick and place applications based on computer vision [PDF]
In this paper, we develop a low-cost delta robot arm for grasping objects of unspecified size thanks to a vision system. Stepper motors are used instead of ac servo motors to build a low-cost delta robot arm.
Hoai Phuong Le +2 more
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This paper presents a mobile manipulation platform designed for autonomous depalletizing tasks. The proposed solution integrates machine vision, control and mechanical components to increase flexibility and ease of deployment in industrial environments ...
Jacopo Aleotti +16 more
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In the era of rapid development in industry, an automatic production line is the fundamental and crucial mission for robotic pick-place. However, most production works for picking and placing workpieces are still manual operations in the stamping ...
Quoc-Trung Do +2 more
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