Hiwonder AiArm Vision robotic arm kit for educational demonstrations, supports Scratch and Python

AiArm is equipped with a self-developed controller CoreX, which uses high-performance intelligent servos and vision modules, and can be programmed using Scratch and Python.

AiArm integrates sensors and modules to perform various interesting functions, including Al facial tracking fans, ultrasonic visual search, and MP3 voice broadcasting.

AiArm combined with WonderCam visual module can recognize and locate target objects, thereby realizing AI applications such as color classification, garbage classification, and facial recognition.

Support different motion control methods, including PC software control, offline control, or inverse kinematics control

Electronic learning materials: https://drive.google.com/drive/folders/1oWBCHLSGf2UW_Dl-dHeH2TrqBaeGpMJj?usp=drive_link

The AiArm visual robotic arm kit is an educational demonstration robot kit that integrates multiple artificial intelligence elements, including AiArm robotic arms, sensors, electronic modules, and props. It highly simulates real-world operating scenarios and can vividly and intuitively demonstrate artificial intelligence, robotics engineering, and multi machine collaboration technology.

-Creative Design

1) The AI vision training AiArm is equipped with WonderCam vision module, which integrates pre-set machine learning algorithms. Simply aim the camera at the target object and start learning with just one click. This feature can help you achieve creative artificial intelligence projects such as color recognition and facial recognition.

2) PC plastic, exquisite appearance

The main body of AiArm is made of aluminum alloy and wrapped in a PC plastic shell, with a delicate appearance.

3. Flexible movement and free control

1) Action editing PC software

AiArm uses ESP32 as the core controller, allowing you to edit the required

Use PC software to perform action groups on the robotic arm.

-Quick Settings

The robot kit offers a wide range of components, including a 10mm thick base plate, trash can, and sensor box. With these resources, building garbage classification scenarios becomes effortless.

-Flexible movement, free control

1) Action editing PC software

AiArm uses ESP32 as the core controller, and you can use PC software to edit the action groups required for the robotic arm.

2) Offline action editing

AiArm has an offline programming button that allows you to manually move the robotic arm to design its action group.

3) Inverse kinematics control

AiArm's gripper has a pre built inverse kinematics algorithm that can accurately reach specific positions specified by the end effector coordinates.

-Visual recognition, target tracking

AiArm is equipped with WonderCam visual module, which can perceive and locate target objects from a first person perspective, providing support for various artificial intelligence applications such as color classification, garbage classification, facial recognition, and target tracking.

1) Color recognition

When AiArm successfully recognizes the color of an object, its controller will light up the same color.

2) Color classification

The robotic arm will classify the building blocks based on color and place them in the correct area.

3) Tag recognition

After the robotic arm recognizes the tag, it will accurately locate the object to a specific area based on the tag ID.

4) Garbage classification

The robotic arm uses a camera to recognize information on the trash can and then places it into the appropriate bin based on its category.

5) Facial recognition

When the robotic arm detects a face, the fan module begins to rotate.

6) Target tracking

When the robotic arm recognizes the target color, it will track the motion of the target.

-Unleash your creativity through sensor expansion

AiArm is integrated with sensors and modules to perform various interesting functions, including Al facial tracking fans, ultrasonic visual search, MP3 voice broadcasting, and dot matrix display.

1) AI facial tracking fan

The mechanical arm is combined with the fan module to achieve the Al surface tracking fan project.

2) Ultrasonic visual search

The robotic arm can classify building blocks based on the distance measured by ultrasonic sensors.

3) Dot matrix display

Display programming mode on the dot matrix screen.

4) MP3 broadcasting

The MP3 module plays recognized information to achieve human-computer interaction.

5) Mask recognition

The robotic arm can detect whether people are wearing masks. The dot matrix display screen will show the corresponding facial expressions.

6) Barcode recognition

When WonderCam recognizes a barcode within its field of view, the dot matrix screen will display the corresponding number.

-Scratch and Python in one

The AiArm robot kit can be programmed using Scratch and Python to meet the needs of users with different levels of proficiency.

1) Scratch 3.0 Visual Programming

Scratch is a user-friendly and intuitive programming language. With Scratch, you can easily drag and drop code blocks to program robots

2) Python programming

Visualization programs can be seamlessly converted into Python code, providing opportunities to learn advanced programming skills.

-Different control methods

1) Application Control

2) Wireless controller

3) Mouse control

-Intelligent serial bus servo data feedback

The AiArm robotic arm adopts a self-developed intelligent serial bus server, which provides strong force, precise rotation, clear wiring, and position and voltage feedback.

-Multi functional expandable controller

The CoreX controller is enclosed in a protective case and consists of five electronic modules: buttons, buzzer, sound module, RGB module, infrared receiver, etc. Multiple 4PIN interfaces are reserved for sensor expansion.