JetRover ROS1 ROS2 Robot Car with Vision Robotic Arm Powered by Jetson Nano Support SLAM Mapping/ Navigation/ Python
- 【Support ROS1 and ROS2 configuration】JetRover is compatible with ROS1 and ROS2. The main control solution has been upgraded to support three main control solutions: Raspberry Pi 5, Jetson Nano, and Jetson Orin Nano. Users can choose the adaptation solution according to their own needs.
- 【Smart ROS Robots Driven by AI】 JetRover is a professional robotic platform for ROS learning and development, powered by NVIDIA Jetson Nano 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.
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.
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 ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.
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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 |
| 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 | Raspberry Pi 5(8GB)/ Jetson Nano/ Jetson Orin Nano | ||
| 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 6.5kg |
| Package size | 41*32*25cm |
| JetRover M1 | Chassis type: Mecanum chassis Size: 324*260*659mm Weight: 4.7kg |
| JetRover A1 | Chassis type: Ackerman chassis Size: 325*261*657mm Weight: 5.5kg |
| JetRover T1 | Chassis type: Tank chassis Size: 345*246*660mm Weight: 4.3kg |
| Motor | voltage, position and temperature |
| Encoder | 1024-line AB phase high-precision quadrature encoder |
| ROS controller | Raspberry Pi 5(8GB)/ Jetson Nano/ Jetson Orin Nano |
| 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 size | 41*32*25mm |
| Package weight | About 6.5Kg |
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.
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.
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.
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: 4.7kg |
| JetRover A1 | Chassis type: Ackerman chassis Size: 325*261*657mm Weight: 5.5kg |
| JetRover T1 | Chassis type: Tank chassis Size: 345*246*660mm Weight: 4.3kg |
| Motor | voltage, position and temperature |
| Encoder | 1024-line AB phase high-precision quadrature encoder |
| ROS controller | Raspberry Pi 5(8GB)/ Jetson Nano/ Jetson Orin Nano |
| 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 size | 41*32*25cm |
| Package weight | About 6.5Kg |
Customer Reviews
I am happy with JetRover Robot. It is functioning good, But, As per mail communication, it is conveyed battery will take 3 hours to get completedly charged. But, it is taking 8 to 9 hours just to get charged 10 V to 11 V.
Also, the discharge is so fast. I need replacement for the battery or some other solutions where i can get exact battery either via Hiwonder or some external soruce as well.
Dear Anandakumar, thank you for your feedback!
The battery may drain quickly if all functions are activated. However, the batteries we use are of very high quality. Due to size and convenience constraints, using three batteries (4V each one)is the most suitable option. If you are engaging in intensive development, we recommend purchasing an extra battery as a backup—it’s very easy to replace.
I purchased it for a 39 year old "kid" and he absolutely loves this robot! It is very easy to use and set up. The directions are great. I was shocked to see how well it performed and how well it was made based on the price. I have bought some robots in the past for a lot more and they didn't do half of what these do. This program does a lot and the smart part of it is incredible. I think I will be making more purchases of these as they make great gifts for anyone of any age!
I have used it for some days and it works well. I think that the appearance is the best on the market. The NVIDIA motherboard is very creative. I plan to use a large model to further develop this robot.
I was amazed at the quality of the JetRover, from the heavy metal base, industrial quality ball-bearing, good servos and the very clear instruction videos on the Internet. It assembles easily in a few hours. I would recommend this arm over any other robot arm for robot experimenters as it will last. I intended to write about it in my monthly column in a robotics magazine. Excellent quality.
Beautiful machine.
Questions & Answers
Have a Question?
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Hi, I have 3 questions. 1. Among Raspberry Pi 5 and Jetson, is there a model that is compatible with both ROS1 and ROS2? I’m curious if it supports Ubuntu 20.04. 2. I’d like to upload and use an AI Vision model or perform Imitation Learning. Is it possible to do so on Raspberry Pi or Jetson? 3. What the code is provided? And is it provided as ROS code, Python code, or in another language?
Hi! Great questions—here are the answers for you!
1. Our Jetson Nano controller has both ros1 and ros2 versions. The controller is installed with Ubuntu 18.04. The robot operating system ROS Melodic environment is also built. The Ubuntu 22.04 ROS2 Humble environment is installed in the docker container. If you want to use other versions of Ubuntu, you can download and study them yourself for a try.
2. Yes, if the task is relatively simple, you can use Raspberry Pi. If it is relatively complex and requires high computing performance, Jetson is commended.
3. The code is python
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What is the pose accuracy of this SLAM system? I want to make a floor-marking robot, and need tight control of position.
Sorry, currently we could not provide accurate data for that:(
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Is the URDF model for gazebo available after purchasing ?
Hi there, yes URDF is provided.
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Can i get bill breakup of each component if i order jet rover.
Hello,
We will provide a breakdown of the entire kit, but not the individual components. We appreciate your understanding on this matter!
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I'm curious about the performance difference between the JetRover Raspberry Pi model and the Jetson Orin Nano. Could you please explain in detail which parts can be felt during the tutorial?
The key differences lie in the main controller, expansion board, and operating systems. The Raspberry Pi 5 operates on Debian 12 and sets up the ROS2 environment within Docker. In contrast, the Orin Nano uses Ubuntu 22.04, with ROS2 installed directly in the system. Additionally, the Raspberry Pi 5 version does not include the human tracking feature that is available in the Orin Nano version; everything else is the same.
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Hi. I want to buy a JetRover ROS1 ROS2 Robot Car with Vision Robotic Arm Powered by Jetson Nano. Can i have the source files? I want to develop my app with Flask or something else... and if I can implement some reinforcement algorithms on it. Thank you!
Hello, yes, we can provide the source code after purchase. Thank you:)
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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
