scholarly journals A NOVEL DESIGNED INTERACTIVE TRAINING PLATFORM FOR INDUSTRIAL ROBOT OFFLINE PROGRAMMING AND ROBOTICS EDUCATION

2017 ◽  
Vol 32 (6) ◽  
Author(s):  
Cengiz Deniz ◽  
Mustafa Cakır
Keyword(s):  
Industrial Robot ◽  
Robotics Education ◽  
Offline Programming ◽  
Interactive Training ◽  
And Robotics

scholarly journals Work in Progress: Building the Mechatronics and Robotics Education Community

2020 ◽  
Author(s):  
Michael Gennert ◽  
Nima Lotfi ◽  
James Mynderse ◽  
Monique Jethwani ◽  
Vikram Kapila
Keyword(s):  
Robotics Education ◽  
Work In Progress ◽  
Education Community ◽  
And Robotics

A Matlab-Based Remote Lab for Control and Robotics Education

2009 ◽  
pp. 127-151 ◽  
Author(s):  
Marco Casini ◽  
Domenico Prattichizzo ◽  
Antonio Vicino
Keyword(s):  
Robotics Education ◽  
Remote Lab ◽  
And Robotics

An Industrial Robot Based Drilling System for Aircraft Structures

2013 ◽  
Vol 433-435 ◽  
pp. 151-157 ◽  
Author(s):  
Yun Bo Bi ◽  
Yong Chao Li ◽  
Yi Hang Jiang ◽  
Jiang Xiong Li ◽  
Wei Wang ◽  
...  
Keyword(s):  
Control System ◽  
High Efficiency ◽  
Industrial Robot ◽  
Computer Control ◽  
Normal Vector ◽  
Compensation Methods ◽  
Hole Position ◽  
Drilling System ◽  
And Robotics ◽  
Better Than

In order to realize automatic flexible drilling with high efficiency and good quality, a drilling system was established, which integrates the technology of laser measurement, off-line programming, computer control and robotics. In this system, the key coordinate frames are established by the laser tracker, the drilling programs are generated by the off-line programming and simulation system, the communication between the automatic drilling control system and the robot control system is based on the socket technique. By running drilling program, the moving platform, robot and the end effector can work automatically and harmoniously. In addition, the deviation compensation methods of hole position and its normal vector are proposed. The experimental results show that the efficiency of drilling can achieve 6 holes per minute, the position accuracy can be effectively controlled within 0.3mm, and the normal accuracy is better than 0.5°.

scholarly journals The Use of Low-Budget Self-Assembly Sets for Research and Robotics Education

2019 ◽  
Vol 27 (1) ◽  
pp. 55-62
Author(s):  
Piotr Cheluszka
Keyword(s):  
Self Assembly ◽  
Inverse Kinematics ◽  
Control Algorithm ◽  
Practical Knowledge ◽  
Low Cost ◽  
Serial Communication ◽  
Control Algorithms ◽  
Robotics Education ◽  
Drive Systems ◽  
And Robotics

AbstractThe article presents the possibilities of using easily accessible and inexpensive educational sets in scientific research and the process of robotics education. Such kits allow the exploration of theoretical and practical knowledge taking into account aspects of engineering, such as: mechanics, drive systems, sensor systems, control and programming of robots. Models of robots built from inexpensive components can also be used to test new solutions in the field of construction or control algorithms before they are used in real applications. As an example, the model of the palletizing manipulator for self-assembly was shown, the control of which was based on the Arduino Uno controller, while the drives were implemented using low-cost hobby-grade servos. For the kinematic structure of this manipulator, the forward and inverse kinematics task for the position has been discussed. This constituted the basis for the development of a manual control algorithm implemented in the controller – using a joystick and programmed – based on the data sent to the controller using serial communication from a PC. The article presents the results of the computer simulation of the manipulator kinematics, the hardware and software implementation of the robot model and the effects of its operation. The possibility of expanding the control system with additional elements to increase its functionality was indicated.

The Pransky interview: Dr. Matanya Horowitz, founder and CEO of AMP robotics

2020 ◽  
Vol 47 (3) ◽  
pp. 319-323
Author(s):  
Joanne Pransky
Keyword(s):  
High Speed ◽  
Applied Mathematics ◽  
Industrial Robot ◽  
Electrical Engineering ◽  
Content Type ◽  
University Of Colorado ◽  
California Institute Of Technology ◽  
In Series ◽  
Institute Of Technology ◽  
And Robotics

Purpose This paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned entrepreneur regarding his pioneering efforts of bringing technological inventions to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Matanya Horowitz, Founder and CEO of AMP Robotics, an industrial artificial intelligence (AI) and Robotics Company that automates the identification, sorting and processing of complex waste streams to extract maximum value for their customers. Horowitz discusses how he came to found this groundbreaking company and created disruptive innovations. Findings Horowitz earned four bachelor degrees in electrical engineering, computer science, applied mathematics and economics, as well as a master’s degree in electrical engineering, all from the University of Colorado. He also holds a PhD in control and dynamical systems from the California Institute of Technology with publications and research in control theory, AI, robotic path planning and computer vision. Shortly after finishing his PhD, he founded Louisville, Colorado-based AMP Robotics in 2014 with the mission of changing the fundamental economics of recycling. In the Fall of 2019, AMP raised $16m in Series A funding, led by Sequoia Capital. Originality/value Horowitz developed and commercialized AMP’s breakthrough AI platform, AMP Neuron™ and robotics system, AMP Cortex™, which automates high-speed identification, sorting, picking and processing of material streams. Horowitz was individually recognized as Waste360’s “2019 Innovator of the Year” in addition to being named in their “40 under 40” list. AMP has received numerous awards and gained international recognition, including The Circulars 2018 Award for “Circular Economy Top Tech Disruptor” at the World Economic Forum in Davos, and the NWRA’s (National Waste and Recycling Association) “2017 Innovator of the Year” award.

Modem Mechatronics and Robotics Education Program: Border Cooperation between Estonia and Russia

2020 ◽  
Author(s):  
Anton Rassolkin ◽  
Toomas Vaimann ◽  
Karolina Kudelina ◽  
Galina L. Demidova ◽  
Dmitry V. Lukichev ◽  
...  
Keyword(s):  
Education Program ◽  
Robotics Education ◽  
And Robotics
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