Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm

2019 ◽  
Vol 16 (2) ◽  
pp. 026012 ◽  
Author(s):  
Xiaogang Chen ◽  
Bing Zhao ◽  
Yijun Wang ◽  
Xiaorong Gao
Keyword(s):  
Computer Vision ◽  
High Frequency ◽  
Robotic Arm

Control Algorithm for an Industrial Robotic Arm Using Computer Vision

2015 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Germán Buitrago Salazar ◽  
Olga Lucía Ramos ◽  
Dario Amaya
Keyword(s):  
Computer Vision ◽  
Control Algorithm ◽  
Robotic Arm

scholarly journals Computer Vision Based Industrial Robotic Arm for Sorting Objects by Color and Height

2020 ◽  
Vol 01 (04) ◽  
pp. 116-122
Author(s):  
Abu Salman Shaikat ◽  
Suraiya Akter ◽  
Umme Salma
Keyword(s):  
Computer Vision ◽  
Production Process ◽  
Production Systems ◽  
Robotic Arm ◽  
Cascade Algorithm ◽  
Manual Sorting ◽  
System Requirement ◽  
Conveyor Belts ◽  
Haar Cascade ◽  
A New Technique

In industrial production systems, manufacturers often face difficulties in sorting different types of objects. Color and height-based sorting which is done manually by human is quite a tedious task and its needs countless time as well. For manual sorting, many workers are required, which can be quite expensive. Moreover, robots that can sort only color or height can’t be effective when there is a need of products with same color with different heights and vice versa. In this paper, a computer vision based robotic sorter is proposed, which is capable of detecting and sorting objects by their colors and heights at the same time. This work isn’t done before as height sorting of same shapes is a new technique, which is done with color sorting techniques by computer vision. It is equipped with a robotic arm having 6 degree of freedom (DOF), by which it picks up and then place objects according to its color and height, to a predetermined place as per the production system requirement. A camera with the computer vision software detects various colors and heights. Haar Cascade algorithm has been used to sort the products. This multi-DOF robotic sorter can be a remarkably useful tool for automating the production process completely, where multiple conveyor belts are used, which can reduce time complexity as well. In the proposed system, the efficiency of color and height sorting is around 99%, which proves the efficiency of our system. The overall improvement in the efficiency of the production process can be significantly enhanced by using this system.

Induced virtual environment for control of a manipulator designed for working with radioactive materials

2021 ◽  
Vol 9 (1) ◽  
pp. 32-41
Author(s):  
Alexey Sergeev ◽  
Victor Titov ◽  
Igor Shardyko
Keyword(s):  
Computer Vision ◽  
Virtual Reality ◽  
Virtual Environment ◽  
Human Machine Interface ◽  
Robotic Arm ◽  
Radioactive Materials ◽  
End Effector ◽  
Machine Interface

This article discusses the control issues of a robotic arm for a hot cell based on the induced virtual reality methodology. A human-machine interface based on the virtual reality is presented, comprising a set of interactive features, designed to construct trajectories, along which the end effector of the arm should move. The prospects of computer vision are further considered as means that update the virtual environment state. An experiment to compare two approaches designed to control the robotic arm in virtual environment was carried out.

Efficient Object Selection Technique for a Robotized Kitchen

2011 ◽  
Vol 403-408 ◽  
pp. 4873-4879
Author(s):  
Mudit Srivastava ◽  
Anshul Vikram Pandey
Keyword(s):  
Computer Vision ◽  
Robotic Arm ◽  
Rfid Technology ◽  
Disabled People ◽  
Novel Object ◽  
Selection Technique ◽  
Object Selection ◽  
Central Location ◽  
Computer Vision Technology ◽  
Selection Of

This paper proposes a novel object selection technique for a robotized kitchen which provides autonomy to elderly and disabled people while working in kitchen. The interface uses touch screen technology, managed from a central location. The design consists of a robotic arm whose movement is controlled according to the selection of items made by the user. We have used RFID technology for unique identification of the objects and ‘Reverse Code’ for tracking purpose. Based on the response of RFID interrogator and ‘Reverse code’, the robotic arm picks and places the object at the desired location. The interface does not use computer vision technology and provides flexibility with the size of kitchen room. The design also provides several liberalities to the user in context to manual placing and aims at minimizing the errors and rectifying them autonomously to its maximum extent. The arm can also be programmed to select and place various objects required for a particular task, in a predefined manner. At the end of this paper, we have discussed the effectiveness of this system in countering some common errors.

Image Fusion Based on Shearlet and Multi-Decision

2014 ◽  
Vol 889-890 ◽  
pp. 1103-1106
Author(s):  
Xin Zheng ◽  
Ai Ping Cai
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Fusion ◽  
High Frequency ◽  
Decision Rules ◽  
Image Decomposition ◽  
Fusion Algorithm ◽  
Shearlet Transform ◽  
Fused Image ◽  
Traditional Image

Image Fusion is an important and useful subject in Image Processing and Computer Vision. The traditional image fusion algorithm could not provide satisfactory fusion results. Aiming to solving this problem, in this paper, we proposed an algorithm based on shearlet and multi-decision. First we discussed the application of the shearlet transform. Then we use difference decision rules for image decomposition high-frequency coefficients. Finally, the fused image is obtained through inverse Shearlet transform. Experimental results show that comparing with traditional image fusion algorithms, the proposed approach can provide more satisfactory fusion outcome.

A Robotic Prototype for Spraying and Pollinating Date Palm Trees

2008 ◽  
Author(s):  
Amir Shapiro ◽  
Eran Korkidi ◽  
Amit Rotenberg ◽  
Gilad Furst ◽  
Harel Namdar ◽  
...  
Keyword(s):  
Computer Vision ◽  
Date Palm ◽  
Vision System ◽  
Robotic Arm ◽  
Computer Vision System ◽  
Automatic Apparatus ◽  
Palm Trees ◽  
Risk Of Injury ◽  
Computer Controlled ◽  
Standard Tractor

Spraying and pollinating date palm trees is currently done manually by a team of three workers from a platform lifted 18 meters or more above the ground. This method is extremely unsafe and many accidents have happened due to lack of stability when the platform is in a lifted position. Alternatively, date clusters are occasionally sprayed by a large pressurized sprayer directly from the ground, a method that is highly unselective and environmentally harmful. In this paper we present the concept of an automatic apparatus that can effectively and accurately spray and pollinate date clusters from a robotic apparatus mounted to a standard tractor operated by a single driver. The apparatus consists of a robotic arm and computer controlled sprayer, guided by a computer vision system that detects and localizes date clusters with a camera. This system will minimize risk of injury, significantly save manpower (from three to one person per team), and deliver the spray with maximum accuracy thereby reducing chemical disposure. A small scaled prototype has been built and is currently under preliminary experiments.

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