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Proceedings ArticleDOI

A combined 2D-3D vision system for automatic robot picking

TLDR
A new vision technique for an industrial robot to pick up randomly placed workpieces by combining 2D and 3D vision for efficiently determining the spatial position of a target object in cluttered scenes is presented.
Abstract
This paper presents a new vision technique for an industrial robot to pick up randomly placed workpieces. The proposed approach combines 2D and 3D vision for efficiently determining the spatial position of a target object in cluttered scenes. 2D vision permits to quickly detect and locate objects of interest, thus reducing significantly the processing time. The location of an extracted 2D region (a detected object) is then passed to the 3D vision module to determine its world coordinate. Finally the 3D position information is sent to the robot manipulator for automatic picking. The test results show the effectiveness of the proposed system.

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Citations
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Journal ArticleDOI

A Comparative Review of Hand-Eye Calibration Techniques for Vision Guided Robots

TL;DR: A review of hand-eye calibration can be found in this paper, where a general overview of the strengths and weaknesses of different handeye calibration algorithms available to academics and industrial practitioners is presented.
Patent

Robot unstacking method based on binocular stereoscopic vision

TL;DR: In this article, a robot unstacking method based on binocular stereoscopic vision is proposed, which includes the following steps of simultaneously obtaining images within views of left and right eyes by using a binocular camera fixed right above a working area, and positioning a target by using shape template matching method to obtain a three-dimensional coordinate under the camera coordinate system.
Proceedings ArticleDOI

Design and grip force control of dual-motor drive electric gripper with parallel fingers

TL;DR: Robots grip experiments show that the gripper can provide flexible grip, improve the flexibility and reduce damages to the fragile and deformable objects during dynamic grip process.
Journal ArticleDOI

A Robotic grinding station based on an industrial manipulator and vision system

TL;DR: In this paper, a coarse-to-fine two-step localization strategy was used for obtaining the object position in the presence of ambient light, and the grid method was employed for detecting the main burrs and the offline grinding trajectory was planned with the guidance of the coordinate transformation method.
Proceedings ArticleDOI

Multi-objects detection and classification using Vision Builder for autonomous assembly

TL;DR: After using this object’s location data with the automation system, it was found that the robot moved to the position of the object correctly and was able to pick the object for assembly.
References
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TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Journal ArticleDOI

Evaluation of Stereo Matching Costs on Images with Radiometric Differences

TL;DR: Among the best costs are BilSub, which performs consistently very well for low radiometric differences; HMI, which is slightly better as pixelwise matching cost in some cases and for strong image noise; and Census, which showed the best and most robust overall performance.
Journal ArticleDOI

Relative end-effector control using Cartesian position based visual servoing

TL;DR: This paper presents a complete design methodology for Cartesian position based visual servo control for robots with a single camera mounted at the end-effector and the implementation using a distributed computer architecture is described.
Proceedings ArticleDOI

Dominant orientation templates for real-time detection of texture-less objects

TL;DR: This work presents a method for real-time 3D object detection that does not require a time consuming training stage, and can handle untextured objects, and is a novel template representation that is designed to be robust to small image transformations.
Journal ArticleDOI

Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment

TL;DR: This paper presents a novel approach to camera calibration where top-down information from rough camera parameter estimates and the output of a multi-view-stereo system on scaled-down input images is used to effectively guide the search for additional image correspondences and significantly improve camera calibration parameters using a standard bundle adjustment algorithm.