Design, development, and characterization of mobile microrobots with vision control system

Author(s):  
Ganjar Kiswanto ◽  
Reza Afrianto ◽  
Rifkie Nurcahya ◽  
Mohamad Safhire
Author(s):  
Fernando José Martínez-López ◽  
Luis Germán Gutierrez-Torres

This article shows the process of design, development, and implementation of a platform created to form an environment for identification and timely characterization of knowledge, skills, and profiles of new students, through the treatment of data and information technologies, during the process of institutional admission exams in higher education. For its construction, work has been done through a methodology based on best software engineering practices, developing various modules that integrated achieve the functionality required to function as information management and analysis platform. The antecedents found allowed to determine that before the approach of this platform, there was only generalized software, adaptable with some difficulties, destined to the application of exams, distant from the raised vision of a platform for data exploration. This work aims to provide the host institution and all public and / or private higher education institutions with a tool that allows them to have bases for timely decision making and the taking of relevant actions that contribute to the proper training of professionals from its initial stages, through an early identification of skills and profiles of its applicants.


2012 ◽  
Vol 546-547 ◽  
pp. 795-799
Author(s):  
Yin Feng Wu ◽  
Jian Wei Liang ◽  
Ling Liang

This paper analyzes the control requirements of scutcher and introduces the control system scheme which is composed of programmable logic controller, touch panel and inverter. And it emphasizes the hardware constitution of S7-200 PLC control system, the pressure detection and display of cotton feeding pipeline, together with the principles of the beater speed test program and the control program of cotton feeding motor.The scutcher control system can feed cotton continuously and equably and ensure the pressure stability of the cotton feeding pipeline. In this way, it can adjust process conveniently, decrease fault rate and cut the design development cycle of new equipments to improve the control level of textile machinery.


2005 ◽  
Vol 33 (4) ◽  
pp. 339-348 ◽  
Author(s):  
P. Brunn ◽  
A. W. Labib

The paper describes the design, development, testing and use of a microcontroller- and PC-based control system which was used to repair and enhance an ASEA IRB6 welding robot in the authors' laboratory. The principles described could be applied to any robot of similar age and to provide a low-cost route to revitalise any working robot hardware that is limited by an outdated control system. The proposed approach addresses a problem within many manufacturing systems operating in industry.


2020 ◽  
Vol 17 (6) ◽  
pp. 172988142096907
Author(s):  
Changxin Li

In the process of strawberry easily broken fruit picking, in order to reduce the damage rate of the fruit, improves accuracy and efficiency of picking robot, field put forward a motion capture system based on international standard badminton edge feature detection and capture automation algorithm process of night picking robot badminton motion capture techniques training methods. The badminton motion capture system can analyze the game video in real time and obtain the accuracy rate of excellent badminton players and the technical characteristics of badminton motion capture through motion capture. The purpose of this article is to apply the high-precision motion capture vision control system to the design of the vision control system of the robot in the night picking process, so as to effectively improve the observation and recognition accuracy of the robot in the night picking process, so as to improve the degree of automation of the operation. This paper tests the reliability of the picking robot vision system. Taking the environment of picking at night as an example, image processing was performed on the edge features of the fruits picked by the picking robot. The results show that smooth and enhanced image processing can successfully extract edge features of fruit images. The accuracy of the target recognition rate and the positioning ability of the vision system of the picking robot were tested by the edge feature test. The results showed that the accuracy of the target recognition rate and the positioning ability of the motion edge of the vision system were far higher than 91%, satisfying the automation demand of the picking robot operation with high precision.


2019 ◽  
Vol 43 (2) ◽  
pp. 164-173 ◽  
Author(s):  
Ömer Barış ÖZLÜOYMAK ◽  
Ali BOLAT ◽  
Ali BAYAT ◽  
Emin GÜZEL

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