scholarly journals A Pick and Place Task with an KUKA Industrial Robot, Aided by an Arduino Board

2019 ◽  
Vol 6 (12) ◽  
pp. 398-400
Author(s):  
Rodrigo Barbosa Tudeschini ◽  
Raphael Barbosa Carneiro de Lima ◽  
Luiz Flavio Martins Pereira ◽  
Álvaro Manoel de Souza Soares
Keyword(s):  
Industrial Robot ◽  
Pick And Place ◽  
Place Task

Automatic Glass Pick and Place by Industrial Robot

2016 ◽  
Author(s):  
Xiaowen Yu ◽  
Yu Zhao ◽  
Masayoshi Tomizuka
Keyword(s):  
Manufacturing Industry ◽  
Vision System ◽  
Industrial Robot ◽  
Detection Methods ◽  
Robot Motion ◽  
Grinding Process ◽  
Pick And Place ◽  
Place Task ◽  
Glass Piece

In glass manufacturing industry, glass grinding process has significant involvement of human workers. Human workers need to load and unload glass pieces to/from the grinder. A 6 DOF industrial robot could be used to automate the process by the “pick and place” task. In this paper, a vision system is implemented to robustly detect glass piece location and the placing destination. Two distinct detection methods are used for different glass settings. A “pick and place” trajectory is automatically generated based on the detected locations. A simulation is first performed to visualize robot motion before operating on the robot.

Robot Tool Calibration in Precise Glass Handling

2017 ◽  
Author(s):  
Xiaowen Yu ◽  
Thomas Baker ◽  
Yu Zhao ◽  
Masayoshi Tomizuka
Keyword(s):  
Cell Phone ◽  
Manufacturing Industry ◽  
Industrial Robot ◽  
Maximum A Posteriori ◽  
A Posteriori ◽  
Vision Sensors ◽  
Pick And Place ◽  
Place Task ◽  
Calibration Accuracy ◽  
Vision Detection

In the cell phone protective glass manufacturing industry, glass need to be first ground to a desired thickness, which requires human workers to place the glass pieces precisely into the grinder. We propose to use a 6 DOF industrial robot equipped with vision sensors to automate the process by the “pick and place” task. The precision of the placing depends not only on the vision detection, but also on the calibration of the camera and the glass plane. In this paper, a Maximum a Posteriori (MAP) method is proposed to increase the calibration accuracy. A nominal calibration is first obtained with standard method, then it is corrected with observations. Experimental results shows the increased accuracy of placing.

Design of spline surface vacuum gripper for pick and place robotic arms

2020 ◽  
Vol 4 (2) ◽  
pp. 48-55
Author(s):  
A. S. Jamaludin ◽  
M. N. M. Razali ◽  
N. Jasman ◽  
A. N. A. Ghafar ◽  
M. A. Hadi
Keyword(s):  
Cycle Time ◽  
Industrial Robot ◽  
Annealing Process ◽  
Vacuum Suction ◽  
Robotic Arms ◽  
Custom Made ◽  
Pick And Place ◽  
Manufacturing Procedure ◽  
Production Flexibility ◽  
The Impact

The gripper is the most important part in an industrial robot. It is related with the environment around the robot. Today, the industrial robot grippers have to be tuned and custom made for each application by engineers, by searching to get the desired repeatability and behaviour. Vacuum suction is one of the grippers in Watch Case Press Production (WCPP) and a mechanism to improve the efficiency of the manufacturing procedure. Pick and place are the important process for the annealing process. Thus, by implementing vacuum suction gripper, the process of pick and place can be improved. The purpose of vacuum gripper other than design vacuum suction mechanism is to compare the effectiveness of vacuum suction gripper with the conventional pick and place gripper. Vacuum suction gripper is a mechanism to transport part and which later sequencing, eliminating and reducing the activities required to complete the process. Throughout this study, the process pick and place became more effective, the impact on the production of annealing process is faster. The vacuum suction gripper can pick all part at the production which will lower the loss of the productivity. In conclusion, vacuum suction gripper reduces the cycle time about 20%. Vacuum suction gripper can help lower the cycle time of a machine and allow more frequent process in order to increase the production flexibility.

scholarly journals Multimodal Mixed Reality Impact on a Hand Guiding Task with a Holographic Cobot

2020 ◽  
Vol 4 (4) ◽  
pp. 78
Author(s):  
Andoni Rivera Pinto ◽  
Johan Kildal ◽  
Elena Lazkano
Keyword(s):  
Augmented Reality ◽  
Industrial Production ◽  
User Study ◽  
Haptic Feedback ◽  
Mixed Reality ◽  
Robot Arm ◽  
Pick And Place ◽  
Place Task ◽  
Guidance Technique ◽  
The Impact

In the context of industrial production, a worker that wants to program a robot using the hand-guidance technique needs that the robot is available to be programmed and not in operation. This means that production with that robot is stopped during that time. A way around this constraint is to perform the same manual guidance steps on a holographic representation of the digital twin of the robot, using augmented reality technologies. However, this presents the limitation of a lack of tangibility of the visual holograms that the user tries to grab. We present an interface in which some of the tangibility is provided through ultrasound-based mid-air haptics actuation. We report a user study that evaluates the impact that the presence of such haptic feedback may have on a pick-and-place task of the wrist of a holographic robot arm which we found to be beneficial.

scholarly journals Queuing theory based part-flow estimation in a pick-and-place task with a multi-robot system

2018 ◽  
Vol 12 (2) ◽  
pp. JAMDSM0061-JAMDSM0061
Author(s):  
Yanjiang HUANG ◽  
Ryosuke CHIBA ◽  
Tamio ARAI ◽  
Tsuyoshi UEYAMA ◽  
Xianmin ZHANG ◽  
...  
Keyword(s):  
Queuing Theory ◽  
Robot System ◽  
Flow Estimation ◽  
Pick And Place ◽  
Place Task ◽  
Multi Robot

Analytical and Experimental Predictor-Based Time Delay Control of Baxter Robot

2018 ◽  
Author(s):  
Mostafa Bagheri ◽  
Miroslav Krstić ◽  
Peiman Naseradinmousavi
Keyword(s):  
Time Delay ◽  
Time Delays ◽  
Input Delay ◽  
Delay Systems ◽  
Engineering Systems ◽  
Common Control ◽  
Pick And Place ◽  
Place Task ◽  
Input Delays ◽  
Time Invariant

In this paper, a predictor-based controller for a 7-DOF Baxter manipulator is formulated to compensate a time-invariant input delay during a pick-and-place task. Robot manipulators are extensively employed because of their reliable, fast, and precise motions although they are subject to large time delays like many engineering systems. The time delay may lead to the lack of high precision required and even catastrophic instability. Using common control approaches on such delay systems can cause poor control performance, and uncompensated input delays can produce hazards when used in engineering applications. Therefore, destabilizing time delays need to be regarded in designing control law. First, delay-free dynamic equations are derived using the Lagrangian method. Then, we formulate a predictor-based controller for a 7-DOF Baxter manipulator, in the presence of input delay, in order to track desirable trajectories. Finally, the results are experimentally evaluated.

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