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Robotic Arm Mitshubishi Melfa 6 SL Control
Schindler, Petr ; Hanáček, Petr (referee) ; Zbořil, František (advisor)
This thesis is focused on the control of the robotic arm Mitsubishi Melfa 6 SL. It is a part of a bigger project, which goal is to build an online laboratory supporting the teaching of artificial intelligence. This document describes methods which can be used to control the arm, especially using personal computer. It also briefly describes the laboratory itself. The goal of this project was to create a set of routines, which can be used to control the robot using one's own software.
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Robotic Arm - Navigation by Using Axis 214 Camera
Skládanka, Josef ; Hanáček, Petr (referee) ; Zbořil, František (advisor)
This paper is focused on recognizing the position of a cube placed in the working area of the robotic arm Mitsubishi Melfa 6 SL, using digital image from Axis 214 cameras. It briefly describes few techniques which can be used for detecting the position of an object in the image. The main focus is laid on the implemented method, which detects and analyses gaps in the grid plotted in the robot's working area.
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Robotic Arm Mitshubishi Melfa 6 SL Control
Schindler, Petr ; Hanáček, Petr (referee) ; Zbořil, František (advisor)
This thesis is focused on the control of the robotic arm Mitsubishi Melfa 6 SL. It is a part of a bigger project, which goal is to build an online laboratory supporting the teaching of artificial intelligence. This document describes methods which can be used to control the arm, especially using personal computer. It also briefly describes the laboratory itself. The goal of this project was to create a set of routines, which can be used to control the robot using one's own software.
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|
|
Robotic Arm - Navigation by Using Axis 214 Camera
Skládanka, Josef ; Hanáček, Petr (referee) ; Zbořil, František (advisor)
This paper is focused on recognizing the position of a cube placed in the working area of the robotic arm Mitsubishi Melfa 6 SL, using digital image from Axis 214 cameras. It briefly describes few techniques which can be used for detecting the position of an object in the image. The main focus is laid on the implemented method, which detects and analyses gaps in the grid plotted in the robot's working area.
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