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!
Jetson Nano Control System
Lidar Functions
2D Lidar Mapping and NavigationJetAuto 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. |
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Single-point Navigation, Multi-point NavigationJetAuto Pro employs Lidar to detect the surroundings in real time to achieve single-point navigation as well as multi-point navigation. |
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TEB Path Planning, Obstacle AvoidanceIt 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. |
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RRT Autonomous Exploration MappingAdopting 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 TrackingBy scanning the front moving object, Lidar makes robot capable of target tracking. |
Lidar GuardingGuard the surroundings and ring the alarm when detecting intruder. |
Depth Camera
RTAB-VSLAM 3D Mapping and NavigationDepth 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. |
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ORBSLAM2 + ORBSLAM3ORB-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. |
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Depth Map Data, Point CloudThrough the corresponding API, JetAuto Pro can get depth map, color image and point cloud of the camera. |
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MediaPipe Development, Upgraded AI InteractionBased on MediaPipe framework, JetAuto Pro can carry out human body recognition, fingertip detection, face detection, 3D detection and more. |
AI Deep Learning FrameworkUtilize YOLO network algorithm and deep learning model library to recognize the objects. |
KCF Target TrackingRelying on KCF filtering algorithm, the robot can track the selected target. |
Color/Tag Recognition and TrackingJetAuto 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 MappingUse APP to control JetAuto Pro to map and navigate, and view images. |
Body Motion ControlRecognize and analyze your limb and body frame with depth camera first, then perform corresponding action based on your posture. |
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.
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
Voice Control Navigation |
Sound Source Localization |
Voice Control Robotic Arm |
Voice Control Color Recognition |
Interconnected Motorcade
Multi-vehicle Navigation
Depending on multi-machine communication, JetAuto Pro can achieve multi-vehicle navigation, path planning and smart obstacle avoidance.
Intelligent FormationA batch of JetAuto Pro cars can maintain the formation, including horizontal line, vertical line and triangle, during moving. |
Group ControlA 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
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 Simulation ControlThe kinematics algorithm can be verified in simulation to speed up algorithm iteration and reduce the experiment cost. |
Visual DataRViz can visualize the mapping and navigation result, which facilitates debugging and improving algorithm. |
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
ORBBEC Astra Pro Depth Camera
iFLYTEK Far-field Microphone Array Module
HD 7-inch LCD Touch Screen
Vision Robotic Arm
Core Accessories
Multi-functional Expansion BoardThe 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 DriverJetAuto Pro is equipped with 4-channel encoder motor driver making it easier to control motor. |
Hall Encoder Geared Motor520 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 BatteryThis large-capacity Lipo battery can better power the robot and prolongs robot's working life. |