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  3. アフレル 東京ロボティクス本部
  4. ◆◆Case study published!◆◆ [Daihatsu Motor Corporation/Data Science Group] The reason for utilizing AI × small robotic arms in the internship.◆◆
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  • Jan 13, 2023
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Jan 13, 2023

◆◆Case study published!◆◆ [Daihatsu Motor Corporation/Data Science Group] The reason for utilizing AI × small robotic arms in the internship.◆◆

アフレル アフレル 東京ロボティクス本部
In the data science internship, the DOBOT Magician, which is integrated with AI, is being utilized. For more details on the use cases, please refer to the URL below or the related links. 【Case Study】 https://learninglab.afrel.co.jp/2411/ ■What is DOBOT Magician Despite being in the price range of 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 and scenes. Afrel provides original guides (control learning texts) using dedicated software (DobotStudio) and programming languages (C, Python) to support the utilization of the robotic arm. 【DOBOT Magician Explanation Article】 https://learninglab.afrel.co.jp/1074/
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Product Details "DOBOT Magician"
This is the introduction page for DOBOT Magician.
Use Cases for "DOBOT Magician" Here
We will introduce use cases for robot arms.
Why Daihatsu Motor Co., Ltd. Utilized AI and Small Robot Arms in Their Internship
At Daihatsu Motor Co., Ltd.'s Data Science Group, they utilized AI and small robot arms for their data science work experience internship, and we spoke with Mr. Hiroki Yoshida from the Corporate Headquarters DX Promotion Office, DX Domain, Data Science Group.

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Tabletop Robot Arm DOBOT Magician

High-precision, multifunctional compact type robot arm DOBOT Magician

The DOBOT Magician is priced around 150,000 yen, yet it features a 4-axis arm and comes with standard tool heads such as a gripper, suction cup kit, writing & drawing tools, and a 3D printer. Additionally, the dedicated software allows programming by arranging blocks, enabling beginners to smoothly learn and operate the robot arm. The main unit does not require prior safety training, making it less restricted in terms of installation and usage locations, and it can be utilized in various scenarios. Afrel provides original guides (control learning texts) using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python, Arduino, AI, image processing, and image recognition) to support the use of the robot arm. *DOBOT Magician product page https://afrel.co.jp/product/dobot-magician/ ◆◆ Afrel Corporation Contact Information ◆◆ TEL. 0776-25-0303 9:30-17:30 (excluding weekends, holidays, and year-end/New Year) FAX. 0776-25-0309 info@afrel.co.jp

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Robot arm × image recognition for work efficiency improvement AI work selection automation set

Easily and affordably implementable! Achieve automation and labor-saving in parts selection and sorting with a high-performance compact robotic arm × AI (image recognition)!

The "AI Work Selection Automation Set" is a set that allows for the streamlining and automation of parts selection (sorting) using a robotic arm and image recognition. It can be easily and affordably implemented, enabling practical application from data collection to picking and sorting, bringing it closer to the image of utilization in the field. ■ Use Cases - Consideration and demonstration aimed at streamlining and automating production lines in the manufacturing industry - Movement of parts (works) and sorting of parts using image recognition and processing - Learning control of robotic arms - Utilization in production management and product development departments ■ Recommended for - Personnel responsible for business improvement, labor-saving, and automation of tasks - Those considering automation of parts and product sorting using image recognition - Personnel who want to experimentally introduce trending AI and deep learning ■ Features - Streamlining and automating parts selection (sorting) and inspection tasks using a robotic arm and image recognition - Achieving a complete control system for data collection, sorting, and inspection - Capability to compare, execute, and verify "rule-based image processing" and "deep learning-based image processing"

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[Case Study] DOBOT Magician (AI & In-house Study Session)

Utilizing AI (deep learning) and a small robotic arm for in-house study sessions aimed at creating a foundation for innovation within the company.

We will introduce an example of using the DOBOT Magician in an internal study session for learning AI and deep learning. For more details, please visit the URL below. ■ What is DOBOT Magician? The DOBOT Magician is a small robotic arm priced around 150,000 yen, 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. Its 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 and scenarios. Afrel provides original guides (control learning texts) using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robotic arm.

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[Case Study] DOBOT Magician (Measurement Data Collection)

Utilizing the small robot arm DOBOT Magician to collect measurement data and improve the efficiency of experiments.

We will introduce a case study from Kyushu Institute of Technology's graduate school that utilized the DOBOT Magician for data collection. For more details, please visit the URL below. ■ What is DOBOT Magician? It is a small robotic arm priced around 150,000 yen, 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 device does not require prior safety training, making it easy to install and use in various locations and scenarios. Afrel provides original guides (control learning texts) using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robotic arm.

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[Case Study] DOBOT Magician (Measuring Softness)

By utilizing the small robot arm DOBOT Magician, accurate measurements can be achieved by maximizing the use of the softness sensor "SOFTGRAM."

The DOBOT Magician is utilized to perform accurate measurements using the softness sensor "SOFTGRAM." For more details, please visit the URL below. ■ What is DOBOT Magician? Despite being priced around 150,000 yen, it is a compact robotic arm equipped with a 4-axis arm and comes with standard tool heads such as a gripper, suction cup kit, lighting & drawing, and 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 and scenes. Afrel provides original guides using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robotic arm.

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[Case Study] DOBOT Magician (Utilization in Performance Evaluation Tests)

Utilizing the small robotic arm DOBOT Magician for performance evaluation tests, consistently reproducing the same actions.

We will introduce a case where the DOBOT Magician was utilized in performance evaluation tests. For more details, please visit the URL below. ■What is DOBOT Magician? It is a small robotic arm equipped with a 4-axis arm, priced around 150,000 yen, and comes with standard tool heads such as a gripper, suction cup kit, lighting & drawing, and 3D printer. The dedicated software allows programming by arranging blocks, enabling beginners to smoothly learn and operate the robotic arm. The device does not require prior safety training, making it easy to install and use in various locations and scenarios. Afrel provides original guides (control learning texts) using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robotic arm.

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[Video Introduction] DOBOT Case Study: Pickup and Alignment of 7mm Parts

We will introduce a video case of "picking up and aligning 7mm small parts with DOBOT Magician"!

We will introduce a case study of the tabletop-sized small robot arm, DOBOT Magician, in a video. *Please watch the video from the "Related Videos" section in the middle of this page. ■ Video Content *Theme: Picking and aligning small electronic components* The DOBOT Magician comes standard with a suction cap for picking, but it is difficult to pick items smaller than 20mm with the standard suction cap. Therefore, we have installed a custom suction cap for picking small components. This is recommended for use in electronic component factories and similar environments. ■ About DOBOT Magician The DOBOT Magician is a robot arm equipped with a 4-axis arm, priced around 150,000 yen. Its design does not require prior safety training, making it suitable for various locations and applications. Afrel supports the use of the robot arm with original guides using dedicated software (DobotStudio) and programming languages (C, Java, Python). *DOBOT Magician Product Introduction Page* https://afrel.co.jp/product/dobot-magician/

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[Video Introduction] DOBOT Case Study: Moving and Flipping Cases

We will introduce a video case of "moving a case measuring 10cm wide and 20cm tall, and flipping a case weighing 200g" using the DOBOT Magician!

We will introduce a case study of the tabletop-sized small robot arm, DOBOT Magician, through a video. *Please watch the video from the "Related Videos" section in the middle of this page. ■Video Content [This time's theme: Moving a case measuring 10cm wide and 20cm tall, flipping a case weighing 200g] At the request of a user, we created an end effector using LEGO parts as a prototype. If it is difficult to grasp with standard accessories like suction cups that come with the DOBOT Magician, it is possible to change the end effector to enable grasping. ■About DOBOT Magician DOBOT Magician is a robot arm equipped with a 4-axis arm, priced around 150,000 yen. The main unit does not require prior safety training, making it suitable for various locations and applications. Afrel provides original guides using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robot arm. *DOBOT Magician product introduction page https://afrel.co.jp/product/dobot

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[Video Introduction] DOBOT Case Study: Image Processing Sorting Using Deep Learning

We will introduce a video case study of "Automatic Sorting of Commercial Chocolate Snacks Using Deep Learning" by DOBOTMagician!

We will introduce a case study of the tabletop-sized small robot arm DOBOT Magician through a video. *Please watch the video from the "Related Videos" section in the middle of this page. ■Video Content *Theme: Automatic sorting of commercially available chocolate snacks using deep learning - Collecting image data and creating training data - Building a deep learning model (CNN) using Keras ■About DOBOT Magician DOBOT Magician is a robot arm equipped with a 4-axis arm, priced around 150,000 yen. Its design does not require prior safety training, making it suitable for various locations and applications. Afrel provides original guides using dedicated software (DobotStudio) and programming languages (C, C#, Java, Python) to support the utilization of the robot arm. *DOBOT Magician product introduction page https://afrel.co.jp/product/dobot

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[Video Introduction] DOBOT Case Study: Automatic Sorting of Parts with AI and Image Recognition

We will introduce a video case of "Automatic sorting of screws of different lengths, nuts, and spacers using AI and image recognition by DOBOT Magician!"

We will introduce a case study of the tabletop-sized small robot arm DOBOT Magician in a video. *Please watch the video from the "Related Videos" section in the middle of this page. ■Video Content *Theme: Automatic sorting of parts using AI and image recognition* The robot recognizes the shape of the parts and rotates the gripper for picking. Programming Language: Python Tools Used: OpenCV for image recognition, AI library TensorFlow, deep learning library "Keras," etc. ■About DOBOT Magician DOBOT Magician is a robot arm equipped with a 4-axis arm, priced around 150,000 yen. Its design does not require prior safety training, making it suitable for various locations and applications. Afrel supports the use of the robot arm with original guides using dedicated software (DobotStudio) and programming languages (C, Java, Python). *DOBOT Magician Product Introduction Page* https://afrel.co.jp/product/dobot-magician/

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[Free Consultation] Achieve Automation and Labor Savings! Consultation Meeting for Introducing Small Robot Arms

For those considering the introduction of a robotic arm, you can consult with us while actually operating a high-precision, multifunctional small robotic arm (Dobot).

Are you a company looking to improve operational efficiency and streamline production lines? Would you like to see the operation of a high-precision, multifunctional compact robot arm (DOBOT Magician)? Let's explore together what it can do and how it can be used while actually operating it. (Note: Demonstrations and hands-on experiences using the actual device will be provided during your visit.) This is a reservation-based individual consultation, so you can take your time to discuss your needs. Please feel free to apply. 【If you are interested, please consult with us】 - I want to consider a compact robot arm that can be easily introduced. - I want to know the functions and precision of a small robot arm. - I would like to try control and operation such as image recognition and image processing. - I want to conduct employee training using a robot arm.

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When it rains, the pathways at construction sites quickly become muddy, and puddles and ruts also form. The risk of workers tripping or slipping increases as they walk on the mud. Hyper CLT boards are lightweight wooden boards that utilize CLT. By laying them down in worker pathways, access routes, and material storage areas, the area where workers walk directly on the muddy ground can be reduced, providing a solution for foot safety during rainy weather. The 5×10 board weighs about 230 kg, making it relatively lightweight, and depending on site conditions, it can be easily installed, removed, or relocated. It can also be considered for repositioning as needed based on construction progress and weather conditions. However, laying wooden boards does not guarantee that they will be slip-resistant. It is important to check for slopes, puddles, mud, seams, and shifts, and to perform necessary measures such as securing, draining, and cleaning as needed. The Hyper CLT board is a registered technology under the Ministry of Land, Infrastructure, Transport and Tourism's NETIS program, designated as "TH-250021-A." With NETIS, civil engineering, CLT, and lightweight wooden boards as new options, it supports the creation of safe work sites on rainy days.

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AAEON UP Series Board for Embedded Applications with Intel Core Processor (Series 3) [UP WCL]

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● The production time for casting prototypes can be shortened! Since model production is not required, the time needed to create prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! Different products, such as similar shapes or variations in dimensions, can be molded at the same time in one molding process. This allows for the verification of multiple types in a short period.

Oct 22, 2026

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