Utilizing the small robotic arm DOBOT Magician combined with AI in the data science internship at Daihatsu Motor Co., Ltd.
This is an introduction to the case of Daihatsu Motor Co., Ltd. conducting an internship using the small robotic arm DOBOT Magician in collaboration with AI. For more details, please see the URL below. ■ What is DOBOT Magician? Despite being priced around 150,000 yen, it is a small robotic arm equipped with a 4-axis arm and comes with standard tool heads such as a gripper, suction cup kit, writing & drawing tools, and a 3D printer. The dedicated software allows programming by arranging blocks, enabling beginners to smoothly learn and operate the robotic arm. The main unit does not require prior safety training, making it easy to install and use in various locations, allowing for versatile applications in different scenarios.
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basic information
Main Unit: Weight 3.4kg 4-axis arm Position repeatability: 0.2mm Tool Head (included as standard) - Suction cup kit - Pneumatic gripper (can lift objects weighing up to approximately 500g) - Writing & drawing kit (includes a dedicated pen) - 3D printing kit *Dedicated software (DobotStudio): Free to use Functions - Gripping - Teach & Playback (records multiple XYZ coordinates to form a sequence. Can reproduce movements.) Features - Graphical programming (programming by simply arranging blocks) - Expandable I/O (can expand functionality by connecting external devices such as sensors using 13 expansion ports) - Connect a webcam for image recognition/processing and robot arm control Optional Products - Conveyor belt Includes photoelectric switches, color sensors, and wooden blocks, allowing for learning and experimentation that simulates a production line - Slider rail kit Uses slider rails over 1m long, enabling work while moving horizontally
Price information
DOBOT Magician Educational Version: 226,000 yen excluding tax DOBOT Magician Standard Version: 180,000 yen excluding tax
Price range
P3
Delivery Time
※The delivery date may vary depending on the quantity, so please contact us.
Applications/Examples of results
- Examination and demonstration aimed at streamlining and automating production lines in the manufacturing industry Movement of parts (workpieces) Sorting of parts using image recognition and processing - Control learning of robotic arms - Utilization in production management and product development departments * In the explanatory article, we introduce typical implementation patterns. Recommended for first-timers! Agenda for the robotic arm introduction consultation meeting is now available. https://learninglab.afrel.co.jp/1145/
Line up（4）
| Model number | overview |
|---|---|
| AFD-ED21: DOBOT Magician Educational Version | This set includes peripheral parts such as a Bluetooth module, Wi-Fi module, and joystick control kit in addition to the Standard Version. |
| AFD-ST38: DOBOT Magician Standard Version | This set includes the robot arm itself, a suction cup kit, gripper, a kit for writing and drawing, and a 3D printing kit. |
| AFD-CV8: Conveyor Belt | This set includes the main unit along with a photoelectric switch, color sensor, and wooden blocks. |
| AFD-SLRK: Slider Rail Kit | This set includes a slider rail main unit with a length of over 1 meter, a wire set, and a tool kit. |
catalog（1）
Download All Catalogs![[Product Catalog] Desktop-sized Small Robot Arm DOBOT Magician](https://image.mono.ipros.com/public/catalog/image/01/cef/473716/IPROS54965827876367490784.png?w=120&h=170)
Company information
We will create an attractive production environment and solve the labor shortage through support for an unprecedented robot package system and in-house production.
![[Data Publicly Available] Understandable through Video! Functions and Use Cases of Small Robot Arms](https://image.mono.ipros.com/public/product/image/d2a/2000772420/IPROS37069128013447005349.png?w=280&h=280)
![[Video Introduction] DOBOT Magician Case Studies: 6 Use Cases](https://image.mono.ipros.com/public/product/image/8d6/2000668788/IPROS84140100823320553724.png?w=280&h=280)
![[Technical Information] Is it possible to distinguish collected images other than the operating environment as training data?](https://image.mono.ipros.com/public/product/image/321/2000729800/IPROS68544953699207799816.jpeg?w=280&h=280)
