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Hiwonder
JetRover ROS Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
Product SKU: HW2019389
- 【Smart ROS Robots Driven by AI】 JetRover is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training.
- 【SLAM Development and Diverse Configuration】JetRover is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms including gmapping, hector, karto and cartographer, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance.
- 【High-performance Vision Robot Arm】JetRover includes a 6DOF vision robot arm, featuring intelligent serial bus servos with a torque of 35KG. A HD camera is positioned at the end of robot arm, which provides a first-person perspective for object grabbing tasks.
- 【Far-field Voice Interaction】JetRover ultimate kit incorporates a circular microphone array and speaker allowing for man-robot interaction applications, including Text to Speech conversion, 360° sound source localization, voice-controlled mapping navigation, etc. Integrated with vision robot arm, JetRover can implement voice-controlled grabbing and transporting.
- 【Robot Control Across Platforms】JetRover provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard, allowing you to control the robot at will.
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Product Description
JetRover is a composite ROS robot developed by Hiwonder for ROS education scenarios. It supports three motion chassis: Mecanum wheel, Ackerman steering, and crawler. It is equipped with NVIDIA Jetson Nano, high-performance magnetic encoding motor, and 6-degree-of-freedom robotic arm. High-performance hardware configurations such as lidar, 3D depth camera, 7-inch LCD screen, and far-field microphone array can realize robot motion control, mapping navigation, path planning, tracking and obstacle avoidance, autonomous driving, 3D grabbing, navigation and handling, and somatosensory Interaction, far-field voice interaction, group control formation and other applications.
6DOF Robot Arm, Intelligent Bus Servo
JetRover is equipped with a 6DOF robot arm and a high-torque bus high-voltage servo, which greatly extends the robot's endurance.
LiDAR SLAM Mapping Navigation
JetRover is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoldance.
Depth Vision First-Person View
JetRover is equipped with a 6-degree-of-freedom robotic arm, equipped with a high-performance 3D depth camera at the end, which can realize target recognition, tracking and grabbing.
6CH Far-field Microphone Array
The 6CH Far-field Microphone Array and speakers support sound source positioning, voice recognition control, voice navigation and other functions.
Supports Multiple Chassis Expansions
The JetRover composite robot adapts to the motion characteristics of a variety of chassis, supporting Mecanum wheel, Ackerman steering, and tank chassis to be switched at will. Users can adapt according to their own needs.
Function List
AI Vision Interaction
By inorporating artificial intelligence, JetRover can implement KCF target tracking, AI deep learning, color/ tag recognition and tracking, AR augmented reality, etc.
KCF Target Tracking
Relying on KCF filtering algorithm, the robot can track the selected target.
Vision Line Following
JetRover supports custom color selection, and the robot can identify color lines and follow them.
Color Recognition and Tracking
JetRover is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.
AR Augmented Reality
Select the corresponding graphics through the APP, and let the graphics be presented on the April Tag code through AR enhancement technology.
MediaPipe Development, Upgraded AI Interaction
JetRover is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.
AI Deep Learning Framework
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
Sound Source Localization
Through the 6-microphone array, high-precision positioning of noise reduction sources is achieved. With radar distance recognition, Hiwonder can be summoned at any location.
TTS Voice Broadcast
The text content published by ROS can be directly converted into voice broadcast to facilitate interactive design.
Voice Interaction
Speech recognition and TTS voice broadcast are combined to realize voice interaction and support the expansion of iFlytek's online voice conversation function.
Voice Navigation
Use voice commands to control Hiwonder to reach any designated location on the map, similar to the voice control scenario of a food delivery robot.
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
JetRover employs ROS framework and supports Gazebo simulation. Gazebo brings a fresh approach for you to control JetRover and verify the algorithm in simulated environment, which reduces experimental requirements and improves efficiency.
Body Simulation Control
Through robot simulation control, algorithm verification of mapping navigation can be carried out to improve the iteration speed of the algorithm and reduce the cost of trial and error.
Visual Data
RViz can visualize the mapping and navigation result, which facilitates debugging and improving algorithm.
Wrapped Rear Tail Shell
It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.
Permanent Magnet Brushed Motor
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
High-precision Magnetic Encoder
The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.
Adapt to Various Scenes
The low speed of 1:90 reduction ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.
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.
Mecanum Wheel
The mecanum wheel has a compact structure and flexible movement, supports 360° all-round movement, and realizes the full lateral movement of the car.
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|---|---|---|---|---|
| JetTank | JetAcker | JetAuto | JetAuto Pro | |
| Chassis | Tracked chassis | Ackerman steering structure | Pendulum suspension chassis | Pendulum suspension chassis |
| Wheel | Nylon track | 100mm Solid rubber wheel | 97mm Mecanum wheel | 97mm Mecanum wheel |
| Motor | 520 Motor*2 | 520 Motor*2 | 520 Motor*4 | 520 Motor*4 |
| Servo | Intelligent servo*1 | Intelligent servo*2 | Intelligent servo*1 | Intelligent servo*5 |
| Camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera | Astra Pro Plus depth camera and monocular camera |
| Wheel | Nylon track | 100mm Solid rubber wheel | 97mm Mecanum wheel | 97mm Mecanum wheel |
| Lidar | SLAMTEC A1/ EAI G4 | |||
| Robot Arm | / | / | / | Monocular vision robotic arm |
| Features | ROS in-depth development Able to overcome obstacles | Autonomous driving research | Pendulum suspension for stable driving 360° omnidirectional movement | Grabbing and transporting |
Specification Parameters
| Model | JetRover M1 | JetRover A1 | JetRover T1 |
| Chassis type | Mecanum chassis | Ackerman chassis | Tank chassis |
| Size | 324*260*659mm | 325*261*657mm | 345*246*660mm |
| Weight | 4700g | 5500g | 4300g |
| Motor | voltage, position and temperature | ||
| Encoder | 1024-line AB phase high-precision quadrature encoder | ||
| ROS controller | NVIDIA Jetson Nano B01 | ||
| Control method | USB serial port, CAN port, Bluetooth app, remote controller | ||
| USB expansion | USB HUB expansion board with 5A high current |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic |
| Software | iOS/ Android app |
| Communication method | USB/ WiFi/ Ethernet |
| Programming language | Python/ C/ C++/ JavaScript |
| Servo type | HTS-20H/ HTS-21H/ HTD-35H/ HX-12H intelligent serial bus servo |
| Package weight | About 6500g |
JetRover M1
JetRover A1
JetRover T1
EAI G4 Lidar Parameters
SLAMTEC A1 Lidar Parameters
6-Microphone Array Parameters
Depth Camera Parameters
7-inch LCD Screen Parameters
HTS-20H Servo Parameters
HTD-35H Servo Parameters
Abundant Learning Materials
JetRover Standard Packing List
Notice：The packing list takes the mecanum wheel chassis as an example. Users can choose Ackerman or tank chassis. All other accessories are the same except for the chassis.
JetRover Advanced Packing List
Notice：The packing list takes the mecanum wheel chassis as an example. Users can choose Ackerman or tank chassis. All other accessories are the same except for the chassis.
JetRover Developer Packing List
Notice：The packing list takes the mecanum wheel chassis as an example. Users can choose Ackerman or tank chassis. All other accessories are the same except for the chassis.
| Item | Specification | ||
| JetRover M1 | Chassis type: Mecanum chassis Size: 324*260*659mm Weight: 4700g |
||
| JetRover A1 | Chassis type: Ackerman chassis Size: 325*261*657mm Weight: 5500g |
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| JetRover T1 | Chassis type: Tank chassis Size: 345*246*660mm Weight: 4300g |
||
| Motor | voltage, position and temperature | ||
| Encoder | 1024-line AB phase high-precision quadrature encoder | ||
| ROS controller | NVIDIA Jetson Nano B01 | ||
| Control method | USB serial port, CAN port, Bluetooth app, remote controller | ||
| USB expansion | USB HUB expansion board with 5A high current | ||
| Operating system | Ubuntu 18.04 LTS + ROS Melodic | ||
| Software | iOS/ Android app | ||
| Communication method | USB/ WiFi/ Ethernet | ||
| Programming language | Python/ C/ C++/ JavaScript | ||
| Servo type | HTS-20H/ HTS-21H/ HTD-35H/ HX-12H intelligent serial bus servo |
||
| Package weight | About 6500g | ||
Questions & Answers
Have a Question?
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Recently bought the JetRover Development kit, and cannot find the tutorial for the voice module. Please send me a link to this tutorial.
Hi there, thanks for your order! Pls check this link: https://www.hiwonder.com.cn/store/learn/121.html
Btw, all tutorials can be found on our Download Page: https://www.hiwonder.com.cn/store/learn?key=robotKit
