% $-1,259.99
Hiwonder
JetAuto Pro ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
Product SKU: HW2019256
- Powered by NVIDIA Jetson Nano(included) and based on ROS
- FPV robotic arm for picking, sorting and transporting
- Depth camera and Lidar for mapping and navigation
- 7-inch touch screen to monitor and debug parameters
- Optional 6-microphone array for voice interaction
- Open-source, ample PDF materials and tutorials are provided
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Product Description
JetAuto Pro is a comprehensive 2 in 1 ROS robot tailored for ROS learning. It is loaded with NVIDIA Jetson Nano, AI vision robotic arm, high-performance encoder motor, Lidar, 3D depth camera and 7-inch screen, which open up more functionalities. Robot motion control, mapping and navigation, path planning, tracking and obstacle avoidance, autonomous driving, intelligent picking, MoveIt simulation, somatosensory interaction and voice interaction all can be achieved!
Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
JetAuto Pro is a comprehensive 2 in 1 ROS robot tailored for ROS learning. Jetson Nano opens up more functions. Robot motion control, mapping and navigation, path planning, tracking and obstacle avoidance, autonomous driving, intelligent picking, MoveIt simulation, somatosensory interaction and voice interaction all can be achieved!
Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
Diverse combination of the hardware makes JetAuto Pro an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
Jetson Nano Control System
NVIDIA Jetson Nano is able to run mainstream deep learning frameworks, such as TensorFlow, PyTorch, Caffe/ Caffe2, Keras, MXNet. Provide powerful computing power for massive AI projects. Powered by Jetson Nano, JetAuto Pro can implement image recognition, object detection and positioning, pose estimation, semantics segmentation, intelligent analysis and other almighty functions.
NVIDIA Jetson Nano is able to run mainstream deep learning frameworks, such as TensorFlow, PyTorch, Caffe/ Caffe2, Keras, MXNet. Provide powerful computing power for massive AI projects. Powered by Jetson Nano, JetAuto Pro can implement image recognition, object detection and positioning, pose estimation, semantics segmentation, intelligent analysis and other almighty functions.
Lidar Functions Lidar Functions
2D Lidar Mapping and Navigation
JetAuto Pro is loaded with high-performance Lidar that supports mapping with diverse algorithms including Gmapping, Hector, Karto and Cartographer. In addition path planning, fixed-point navigation as well as obstacle avoidance amid navigation can be implemented.
Single-point Navigation, Multi-point Navigation
JetAuto Pro employs Lidar to detect the surroundings in real time to achieve single-point navigation as well as multi-point navigation.
TEB Path Planning, Obstacle Avoidance
It supports TEB path planning, and is able to monitor the obstacle in real time during navigation. Therefore, it can replan the route to avoid the obstacle and continue moving.
RRT Autonomous Exploration Mapping
Adopting RRT algorithm, JetAuto Pro can complete exploration mapping, save the map and drive back to the starting point autonomously, so there is no need for manual control.
2D Lidar Mapping and Navigation
JetAuto Pro is loaded with high-performance Lidar that supports mapping with diverse algorithms including Gmapping, Hector, Karto and Cartographer. In addition path planning, fixed-point navigation as well as obstacle avoidance amid navigation can be implemented.
Single-point Navigation, Multi-point Navigation
JetAuto Pro employs Lidar to detect the surroundings in real time to achieve single-point navigation as well as multi-point navigation.
TEB Path Planning, Obstacle Avoidance
It supports TEB path planning, and is able to monitor the obstacle in real time during navigation. Therefore, it can replan the route to avoid the obstacle and continue moving.
RRT Autonomous Exploration Mapping
Adopting RRT algorithm, JetAuto Pro can complete exploration mapping, save the map and drive back to the starting point autonomously, so there is no need for manual control.
Lidar Tracking
By scanning the front moving object, Lidar makes robot capable of target tracking.
Lidar Guarding
Guard the surroundings and ring the alarm when detecting intruder.
Depth Camera Depth Camera
RTAB-VSLAM 3D Mapping and Navigation
Depth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision and Lidar, which allows JetAuto Pro to navigate and avoid obstacle in 3D map, as well as relocate globally.
ORBSLAM2 + ORBSLAM3
ORB-SLAM is an open-source SLAM framework for monocular, binocular and RGB-D cameras, which is able to compute the camera trajectory in real time and reconstruct 3D surroundings. And under RGB-D mode, the real dimension of the object can be acquired.
Depth Map Data, Point Cloud
Through the corresponding API, JetAuto Pro can get depth map, color image and point cloud of the camera.
MediaPipe Development, Upgraded AI Interaction
Based on MediaPipe framework, JetAuto Pro can carry out human body recognition, fingertip detection, face detection, 3D detection and more.
RTAB-VSLAM 3D Mapping and Navigation
Depth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision and Lidar, which allows JetAuto Pro to navigate and avoid obstacle in 3D map, as well as relocate globally.
ORBSLAM2 + ORBSLAM3
ORB-SLAM is an open-source SLAM framework for monocular, binocular and RGB-D cameras, which is able to compute the camera trajectory in real time and reconstruct 3D surroundings. And under RGB-D mode, the real dimension of the object can be acquired.
Depth Map Data, Point Cloud
Through the corresponding API, JetAuto Pro can get depth map, color image and point cloud of the camera.
MediaPipe Development, Upgraded AI Interaction
Based on MediaPipe framework, JetAuto Pro can carry out human body recognition, fingertip detection, face detection, 3D detection and more.
AI Deep Learning Framework
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
KCF Target Tracking
Relying on KCF filtering algorithm, the robot can track the selected target.
Color/Tag Recognition and Tracking
JetAuto Pro is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.
Augmented Reality (AR)
After you select the patterns on the APP, the patterns can be overlaid on the April Tag.
ROS robot APP Mapping
Use APP to control JetAuto Pro to map and navigate, and view images.
Body Motion Control
Recognize and analyze your limb and body frame with depth camera first, then perform corresponding action based on your posture.
Smart Vision Robotic Arm Smart Vision Robotic Arm
Loaded with 5DOF vision robotic arm, JetAuto Pro can pick and sort stuffs. Furthermore, the combination of Lidar and Robotic arm allows JetAuto Pro to transport smartly during navigation.
Loaded with 5DOF vision robotic arm, JetAuto Pro can pick and sort stuffs. Furthermore, the combination of Lidar and Robotic arm allows JetAuto Pro to transport smartly during navigation.
Autonomous Navigation
Target Recognition
Destination Recognition
URDF Kinematic Simulation Model
MoveIt Simulation and Trajectory Control
Gesture Recognition
Color Sorting
Follow Line to Clear Obstacles
Waste Sorting
Far-field Microphone Array Far-field Microphone
Array
This 6-microphone array is adroit at far-field sound source localization, voice recognition and voice interaction. In comparison to ordinary microphone module, it can implement more advanced functions.
This 6-microphone array is adroit at far-field sound source localization, voice recognition and voice interaction. In comparison to ordinary microphone module, it can implement more advanced functions.
Voice Control Navigation
Sound Source Localization
Voice Control Robotic Arm
Voice Control Color Recognition
InterconnectedMotorcade Interconnected
Motorcade
Multi-vehicle Navigation
Depending on multi-machine communication, JetAuto Pro can achieve multi-vehicle navigation, path planning and smart obstacle avoidance.
Depending on multi-machine communication, JetAuto Pro can achieve multi-vehicle navigation, path planning and smart obstacle avoidance.
Intelligent Formation
A batch of JetAuto Pro cars can maintain the formation, including horizontal line, vertical line and triangle, during moving.
Group Control
A group of JetAuto Pro can be controlled by only one wireless handle to perform actions uniformly and simultaneously.
ROS Robot Operating System
Global Popular Robotic Communication Framework
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
Gazebo Simulation
JetAuto Pro employs ROS framework and supports Gazebo simulation. Gazebo brings a fresh approach for you to control JetAuto Pro and verify the algorithm in simulated environment, which reduces experimental requirements and improves efficiency.
JetAuto Pro employs ROS framework and supports Gazebo simulation. Gazebo brings a fresh approach for you to control JetAuto Pro and verify the algorithm in simulated environment, which reduces experimental requirements and improves efficiency.
JetAuto Pro Simulation Control
The kinematics algorithm can be verified in simulation to speed up algorithm iteration and reduce the experiment cost.
Visual Data
RViz can visualize the mapping and navigation result, which facilitates debugging and improving algorithm.
Various Control Methods
Various Control Methods
WonderAi APP
Map Nav APP (Android Only)
Wireless Handle
Product Structure
High-performance Lidar
Two Lidar options: SLAMTEC A1 custom edition and EAI G4 Lidar
Two Lidar options: SLAMTEC A1 custom edition and EAI G4 Lidar
ORBBEC Astra Pro Depth Camera
ORBBEC Astra Pro Depth Camera
iFLYTEK Far-field Microphone Array Module
iFLYTEK Far-field Microphone Array Module
HD 7-inch LCD Touch Screen
HD 7-inch LCD Touch Screen
Vision Robotic Arm
Vision Robotic Arm
Core Accessories
Core Accessories
Multi-functional Expansion Board
The expansion board has a built-in IMU sensor which can detect robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two IIC interfaces on it.
Encoder Motor Driver
JetAuto Pro is equipped with 4-channel encoder motor driver making it easier to control motor.
Hall Encoder Geared Motor
11.1V 6000mAh Lipo Battery
Hall Encoder Geared Motor
520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability.
11.1V 6000mAh Lipo Battery
This large-capacity Lipo battery can better power the robot and prolongs robot's working life.
Product Parameter
JetAuto Pro Standard Kit
JetAuto Pro Advanced Kit
| Item | Specification |
| Size | 324 * 260 * 605mm |
| Weight | 3.5kg |
| Material | Full-matal hard aluminum alloy bracket(anodized) |
| Battery | 11.1V 6000mAh Lipo battery |
| Continuous working life | 60min |
| Hardware | ROS controller and ROS expansion board |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic |
| Software | PC remote control software + iOS/ Android APP |
| Communication | USB/WiFi/Ethernet |
| Programming language | Python/C/C++/JavaScript |
| Storage | 32GB TF card |
| Servo | HTS-20H serial bus servo |
| Control method | phone/handle control |
| Package size (advanced kit) | 387 * 356 * 210mm |
| Package weight (advanced kit) | about 3.6kg |
| Hall Encoder Geared Motor | Rated voltage: 12V Rated power consumption: 2.4W Motor type: permanent-magnet brush Stall current: 3A Stall torque: 15kgf.cm Rated current: 0.2A Rated torque: 10kgf.cm Reduction ratio: 1 : 90 Rotation speed (before reduction): 10000rpm Rotation speed (after reduction): 110± 10rpm Output shaft: D-type eccentric shaft of 6 mm diameter Encoder type: Hall encoder Interface: PH2.0 - 6P Power supply: 3.3 - 5V |
| HD wide-angle camera on robotic arm | Pixel: 300,000 pixels Resolution: 480p (640*480) Connection method: USB driver-free Support: windows, Linux, Openwrt Field of view: 120° Frame rate: 30fps Focus method: adjust focus manually |
| Lipo Battery | Voltage: 11.1V Capacity: 6000mAh Plug: DC 5.5 * 2.5 female/ SM-2P male |
