DobotLab Programming Guide

We are currently offering a sample of the educational material "Automatic Judgment Control Using Microscopy and Deep Learning" for educational institutions! This material allows practical learning from judgment of work using machine learning with Raspberry Pi 4B, a microscope, and DOBOT Magician, to the construction of a good/bad product judgment and sorting system in collaboration with a robotic arm. If you are interested, please download the PDF from the related catalog below or feel free to contact us. 【Features】 - Learn the processes of machine learning and judgment methods, how to set thresholds, and the differences between classifiers. - Using a microscope allows for the discrimination of subtle differences such as scratches and gloss. - Utilize a conveyor belt to create an environment for learning about smart factories. 【Learning Content】 - Creation of a dataset Capture images of good/bad products. - Learning and inference Use the dataset for training, create a weight data file, and perform inference. Send the results of good/bad to DOBOT based on the inference results. - Control of DOBOT Magician Sorting is performed based on good/bad results.

We are currently offering a sample of the Afrel original teaching material "Small Robot Arm DOBOT Magician DobotLab Programming Guide"! This is a user manual for programming using the small robot arm "DOBOT Magician" (hereafter referred to as DOBOT), which can be installed on a desk, with the dedicated software "DobotLab." This teaching material explains the control methods using DOBOT Lab. If you are interested, please download the PDF from the related catalog below or feel free to contact us. 【Features】 - Recommended for those who want to learn the basics of controlling a robot arm for the first time. - By using specially developed software, programming can be done simply by arranging blocks, allowing even beginners to easily control the robot arm. 【Learning Content】 - Basic knowledge of DOBOT and fundamental control methods - Control of the robot arm "DOBOT" using programs created with DOBOTBlock Lab (icon-based programming language) *Free Seminar https://learninglab.afrel.co.jp/seminar/13/