scholarly journals Gird Based Line Segment Detector and Application: Vision System for Autonomous Ship Small Assembly Line

2021 ◽  
Vol 9 (11) ◽  
pp. 1313
Author(s):  
Jinhong Ding ◽  
Chongben Ni
Keyword(s):  
Line Segment ◽  
Vision System ◽  
Great Difficulty ◽  
Intelligent Manufacturing ◽  
Industrial Applications ◽  
Industrial Robots ◽  
Shipbuilding Industry ◽  
Push Forward ◽  
Using Data ◽  
Autonomous Ship

The shipbuilding industry demands intelligent robot, which is capable of various tasks without laborious pre-teaching or programming. Vision system guided robots could be a solution for autonomous working. This paper introduces the principle and technique details of a vision system that guides welding robots in ship small assembly production. TOF sensors are employed to collect spatial points of workpieces. Huge data amount and complex topology bring great difficulty in the reconstruction of small assemblies. A new unsupervised line segment detector is proposed to reconstruct ship small assemblies from spatial points. Verified using data from actual manufacturing, the method of this paper demonstrated good robustness which is a great advantage for industrial applications. This paper’s work has been implemented in shipyards and shows good commercial potential. Intelligent, flexible industrial robots could be implemented with the findings of this study, which will push forward intelligent manufacturing in the shipbuilding industry.

Using Standards in a Competition to Measure and Solve Industrial Robotics Agility Challenges

2017 ◽  
Author(s):  
Anthony Downs ◽  
William Harrison ◽  
Craig Schlenoff
Keyword(s):  
Technology Transfer ◽  
State Of The Art ◽  
Industrial Applications ◽  
Test Methods ◽  
Standard Test ◽  
Industrial Robots ◽  
Industrial Robotics ◽  
Additional Information ◽  
Draft Standard ◽  
Push Forward

Researchers at the National Institute of Standards and Technology (NIST) have developed a set of draft standard test methods for measuring and promoting software agility in industrial robots. These test methods are being used as the basis for an upcoming competition called the Agile Robotics for Industrial Applications Competition (ARIAC). ARIAC is being used to promote and push forward the state of the art in software agility and enable technology transfer between academia and industry. This paper describes the background about the test methods, how they were developed, how they will be applied to the ARIAC Competition, and additional information about the ARIAC Competition.

scholarly journals Approach to an automatic prediction of the state of industrial manipulators using machine learning methods

2021 ◽  
Vol 24 (1) ◽  
pp. 48-54
Author(s):  
A. S. Goncharov ◽  
◽  
A. O. Savelev ◽  
A. S. Pisankin ◽  
A. Y. Chepkasov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Industrial Robots ◽  
Learning Methods ◽  
Emergency Situations ◽  
Machine Learning Methods ◽  
Technological Chain ◽  
Using Data ◽  
Working Out

Due to intensive development of information technologies and the onset of 4th industrial revolution the number of robotic industries is steadily growing. The volume of production and the use of robots is also increasing. At the same time, the support and the management of digital production is being rapidly developing. The robotic systems are incapable of completely excluding a person from the technological chain, since they need timely maintenance and personnel working out the emergency situations. One of the solutions to reduce the risk of unexpected breakdowns is a predictive approach to the maintenance. The implementation of this approach is carried out using data analysis tools. This study presents the results of applying machine learning methods to analyze data from industrial robots in order to predict potential failures

A 3D Vision-Based Solution for Product Picking In Industrial Applications

2010 ◽  
pp. 190-208
Author(s):  
Mirko Sgarbi ◽  
Valentina Colla ◽  
Gianluca Bioli
Keyword(s):  
Robot Manipulator ◽  
Vision System ◽  
Conveyor Belt ◽  
Industrial Applications ◽  
Vision Systems ◽  
3D Vision ◽  
Key Factor ◽  
Control Assembly ◽  
Single Marker ◽  
Bin Picking

Computer vision is nowadays a key factor in many manufacturing processes. Among all possible applications like quality control, assembly verification and component tracking, the robot guidance for pick and place operations can assume an important role in increasing the automation level of production lines. While 3D vision systems are now emerging as valid solutions in bin-picking applications, where objects are randomly placed inside a box, 2D vision systems are widely and successfully adopted when objects are placed on a conveyor belt and the robot manipulator can grasp the object by exploiting only the 2D information. On the other hand, there are many real-world applications where the 3rd dimension is required by the picking system. For example, the objects can differ in their height or they can be manually placed in front of the camera without any constraint on the distance between the object and the camera itself. Although a 3D vision system could represent a possible solution, 3D systems are more complex, more expensive and less compact than 2D vision systems. This chapter describes a monocular system useful for picking applications. It can estimate the 3D position of a single marker attached to the target object assuming that the orientation of the object is approximately known.

scholarly journals Impinging jets – a short review on strategies for heat transfer enhancement

2018 ◽  
Vol 32 ◽  
pp. 01013
Author(s):  
Ilinca Nastase ◽  
Florin Bode
Keyword(s):  
Heat Transfer ◽  
Large Scale ◽  
Short Review ◽  
Great Difficulty ◽  
Impinging Jets ◽  
Industrial Applications ◽  
Experimental Investigations ◽  
Small Scale ◽  
Strong Shear ◽  
Flow Phenomena

In industrial applications, heat and mass transfer can be considerably increased using impinging jets. A large number of flow phenomena will be generated by the impinging flow, such as: large scale structures, large curvature involving strong shear and normal stresses, stagnation in the wall boundary layers, heat transfer with the impinged wall, small scale turbulent mixing. All these phenomena are highly unsteady and even if nowadays a substantial number of studies in the literature are dedicated, the impinging jets are still not fully understood due to the highly unsteady nature and more over due to great difficulty of performing detailed numerical and experimental investigations.

An Advanced Active Vision System with Multimodal Visual Odometry Perception for Humanoid Robots

2017 ◽  
Vol 14 (03) ◽  
pp. 1750006
Author(s):  
Xin Wang ◽  
Pieter Jonker
Keyword(s):  
Eye Movements ◽  
Vision System ◽  
Low Cost ◽  
Active Vision ◽  
Human Perception ◽  
Personal Space ◽  
Visual Odometry ◽  
Humanoid Robots ◽  
Industrial Applications ◽  
Human Vision

Using active vision to perceive surroundings instead of just passively receiving information, humans develop the ability to explore unknown environments. Humanoid robot active vision research has already half a century history. It covers comprehensive research areas and plenty of studies have been done. Nowadays, the new trend is to use a stereo setup or a Kinect with neck movements to realize active vision. However, human perception is a combination of eye and neck movements. This paper presents an advanced active vision system that works in a similar way as human vision. The main contributions are: a design of a set of controllers that mimic eye and neck movements, including saccade eye movements, pursuit eye movements, vestibulo-ocular reflex eye movements and vergence eye movements; an adaptive selection mechanism based on properties of objects to automatically choose an optimal tracking algorithm; a novel Multimodal Visual Odometry Perception method that combines stereopsis and convergence to enable robots to perform both precise action in action space and scene exploration in personal space. Experimental results prove the effectiveness and robustness of our system. Besides, the system works in real-time constraints with low-cost cameras and motors, providing an affordable solution for industrial applications.

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