JetArm is a desktop-level AI vision robotic arm developed by Hiwonder for ROS education scenarios. It is equipped with a 3D depth camera, combines 3D vision technology with robotic arm control, and is equipped with high-torque intelligent bus servos, NVIDIA Jetson Nano master control, High-performance hardware such as a 7-inch touch screen, far-field microphone array, and speakers can not only realize 3D motion control of the robot, but also identify, track, and grab target objects in 3D scene.
Depth Vision, 3D Scene Flexible GrabbingThe end of the JetArm robot arm is equipped with a high-performance 3D depth camera, which can realize target recognition, tracking and grabbing. Through RGB+D fusion detection, JetArm can also realize flexible grabbing in 3D scene. |
All-metal Structure, Bearing BaseThe body of the robot arm adopts an all-metal structure, and the surface is anodized, making it exquisite and beautiful. The base uses industrial-grade bearings to meet high-demand grabbing projects. |
Wrapped Structure Design, Beautiful WiringJetArm adopts a wrapped structure design, and the wiring of the servo can be hidden inside the fuselage, making the outside of the fuselage clean and tidy. |
Circular Microphone ArrayThe circular microphone array is divided into a microphone array and a module motherboard. It has stronger overall performance and a sound pickup range of up to 10m. |
Function List
3D Depth Vision Al Upgraded Interaction
Equipped with a Gemini plus 3D depth camera, JetArm can effectively perceive environmental changes, allowing for intelligent Al interaction with humans.
Deep Learning Model Training
JetArm uses neural networks such as GoogLeNet, Yolo, and mtcnn, which can perform deep learning on the target to generate a trained model.
Waste SortingJetArm's kit is equipped with garbage pattern blocks. By loading the corresponding model, JetArm can quickly recognize different garbage and place it in the corresponding classification area. |
Item SortingBy training models of daily items and generating correspond-ing models, with the support of depth cameras, JetArm can quickly recognize and grab corresponding items by obtaining the depth information of the items. |
ROS Robot Operating System
Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.
Gazebo Simulation
The JetArm robotic arm is developed using the ROS framework and supports GAZEBO simulation. The robotic arm is controlled and algorithm verified in a virtual environment, which reduces the requirements for the experimental environment and improves experimental efficiency.
Provide Multi-platform SDK
7-inch HD LCD Touch ScreenThe tail of the JetArm supports a 7-inch touch screen, which allows you to view the first vision image of the robotic arm in real time, as well as the operating status of the JetArm in real time to facilitate timely debugging. |
Anodized Metal BracketThe JetArm robotic arm adopts an all-metal structure and anodized metal brackets, which are exquisite in workmanship, beautiful and durable. |
Built-in Invisible AntennaThe JetArm robotic arm uses a hidden antenna designed to enhance the signal and is built into the control cabin, giving the robotic arm a neat and clean appearance and eliminating the risk of interference with the antenna when the robotic arm is moving. |
Speaker HornThe speaker is connected to the PC or embedded motherboard through a USB sound card, and combined with the microphone array, it can realize functions such as voice interaction and voice broadcast. |
Specification Parameters
Product Parameters |
Dimensional Diagram |
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Depth Camera Parameters |
Circular Microphone Array Parameters |