Hiwonder JetRover JETSON Robot Car with AI Vision Robotic Arm, Supports ROS1 & ROS2, with AI Large Model (ChatGPT), SLAM Mapping/Navigation, AI Voice Interaction, Intelligent Sorting
【Supports ROS1 and ROS2 configuration】Hiwonder JetRover is compatible with ROS1 & ROS2. The main control solution has been upgraded to support 3 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 AI Robots】 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, and enables YOLO model training.
【SLAM Development and Diverse Configuration】Hiwonder 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.
【AI Vision Robotic Arm】JetRover robot car 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 FPV for object grabbing tasks.
【Empowered by Al Large Model, Human Robot Interaction Redefined】 JetRover deploys multimodal models with ChatGPT at its core, integrating 3D vision and a 6-microphone array. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human robot interaction.
【Robot Control Across Platforms】 Hiwonder 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 car at will.
Build, Code, Explore: JetRover's complete tutorial with schematics, source codes, video tutorials and experimental projects. https://docs.hiwonder.com/projects/JetRover/en/jetson-orin-nano/.
Product Description
Hiwonder JetRover is a composite ROS robot developed for ROS education scenarios. It supports 3 motion chassis: Mecanum wheel, Ackerman, and Tank chassis. JetRover is equipped with NVIDIA Jetson or Raspberry Pi, 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. JetRover car robot also deploys a Multimodal Generative AI to support more advanced embodied AI applications. To help you unlock its full potential, we offer open-source codes and learning resources to inspire and support your AI projects.
6DOF Robot Arm, Intelligent Bus Servo
JetRover robot 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
Hiwonder JetRover is equipped with lidar, which can realize SLAM mapping and navigation. And it supports path planning, fixed-point navigation and dynamic obstacle avoldance.
Depth Vision FPV (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.
Dual-Controller Design for Efficient Collaboration
Function List
Integration of AI Large Model with SLAM Mapping and Navigation
Hiwonder JetRover car combines multimodal AI large model to understand user voice commands via an AI large language model, enabling multi-point navigation. Once JetRover arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet real-world needs.
Semantic Understanding
JetRover leverages a AI large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent.
Environmental Perception
Powered by an AI vision language model, JetRover car robot can interpret objects in its surroundings and understand the spatial layout of the environment.
Intelligent Navigation
Hiwonder JetRover continuously sends environmental data to an AI vision language model for real-time in-depth analysis. It dynamically adjusts its navigation path based on user voice commands, allowing it to autonomously navigate to designated areas and deliver intelligent, adaptive routing.
Scene Understanding
With the support of an AI vision language model, JetRover can deeply interpret the semantic information of its environment, including surrounding objects and events within its field of view.
Generative AI Embodied Applications
JetRover Developer and Ultimate Kit are equipped with a circular 6-microphone array. Going beyond the one-way command-response pattern of traditional AI models, JetRover, powered by ChatGPT, enables a cognitive leap from semantic understanding to physical execution, significantly enhancing the naturalness and fluidity of human machine interaction. Combined with advanced machine vision, Hiwonder JetRover delivers outstanding capabilities in perception, reasoning, and action, making it ideal for developing sophisticated embodied AI applications.
Voice Control
With ChatGPT integration, JetRover car can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction.
Color Tracking
Hiwonder JetRover utilizes AI vision language model analysis to detect and lock onto any object within its field of view. With the integration of a PID algorithm, it achieves precise and real-time target tracking.
Vision Tracking
With the advanced perception capabilities of an AI vision language model, JetRover can intelligently identify and lock onto target objects even in complex environments, allowing it to perform real-time tracking with adaptability and precision.
Autonomous Patrolling
Utilizing semantic understanding from an AI large language model, JetRover can accurately detect and track lines of various colors in real time while autonomously navigating obstacles, ensuring smooth and efficient patrolling.
AI Vision Interaction
By incorporating artificial intelligence, Hiwonder JetRover can implement KCF target tracking, AI deep learning, color/ tag recognition and tracking, AR augmented reality, etc.
KCF Target Tracking
The image-based Kernelized Correlation Filter (KCF) algorithm allows for the selection and tracking of any target within the image.
Vision Line Following
JetRover supports custom color selection, and the robot can identify color lines and follow them.
Color Recognition and Tracking
JetRover AI robot 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
Using the MediaPipe development framework, JetRover can perform fingertip detection, human body recognition, 3D object recognition, face detection, and more.
AI Deep Learning Framework
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
Why Choose US
Hiwonder JetRover is equipped with a professional-grade Lidar that delivers true 360° panoramic scanning, enabling full-scene perception without blind spots. Powered by the fusion of 3D vision and IMU technology, it intelligently plans the shortest and safest routes with remarkable precision. Even in rapidly changing environments, JetRover AI vision robot adapts instantly, ensuring mapping and navigation remain efficient, smooth, and highly accurate at all times. From smart home cleaning robots to advanced industrial automation, this single-Lidar solution provides unmatched reliability and performance across diverse scenarios.
Did You Know? Adding more Lidars doesn't guarantee better results. Two low-cost Lidars stitched together often suffer from scan overlaps, noisy data, and synchronization errors—leading to blurry maps and delayed obstacle avoidance. That's why a single high-end Lidar consistently outperforms multiple cheap alternatives.
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 & Moveit 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.
URDF Model Display in Rviz
Provide an accurate URDF model that can be visualized using the Rviz tool to observe mapping and navigation performance, facilitating algorithm debugging and improvement.
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.
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.
 |
 |
 |
 |
|
|---|---|---|---|---|
| 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 | metal gear reduction motor | ||
| Encoder | 1024-line AB phase high-precision quadrature encoder | ||
| ROS controller | NVIDIA Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5 | ||
| 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 / Ubuntu22.04 / ROS2 humble |
| 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 6.5 kg |
| 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 | metal gear reduction motor |
| Encoder | 1024-line AB phase high-precision quadrature encoder |
| ROS controller | NVIDIA Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5 |
| 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 / Ubuntu22.04 / ROS2 humble |
| 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 6.5 kg |
JetRover M1
JetRover A1
JetRover T1
7-inch LCD Screen Parameters
HTS-20H Servo Parameters
HTD-35H Servo Parameters
JetRover Standard Packing List
(The Lidar model is SLAMTEC A1)
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
(The Lidar model is SLAMTEC A1)
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
(The Lidar model is SLAMTEC A1. Please note that the microphone array must be manually installed onto the car by the user)
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 Ultimate Packing List
(Note: The Lidar has been upgraded to the EAI G4 model. The microphone array must be manually installed onto the car by the user.)
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 | metal gear reduction motor |
| Encoder | 1024-line AB phase high-precision quadrature encoder |
| ROS controller | NVIDIA Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5 |
| 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 / Ubuntu22.04 / ROS2 humble |
| 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 6.5 kg |
Shipping & Delivery
1. Free Shipping Policy
Hiwonder offers free standard shipping on orders over US $499 (before tax and duties), delivered via trusted carriers such as DHL, UPS, or FedEx.
Most orders arrive within 6 working days after dispatch. You can check if your country is eligible for free shipping in the regions listed below.
Eligible Regions
- Americas: United States, Canada, Mexico, Chile
- Europe: Germany, United Kingdom, Netherlands, Switzerland, France, Austria, Italy, Belgium, Spain, Sweden, Finland, Norway, Portugal, Czech Republic, Poland, Greece, Slovenia, Romania, Denmark, Bulgaria, Luxembourg, Slovakia, Hungary, Ireland, Estonia, Lithuania
- Asia: China, Japan, Singapore, South Korea, United Arab Emirates, Malaysia, Thailand, Philippines, Indonesia
- Oceania: Australia, New Zealand
If your country or region is not listed above, the shipping cost will be automatically calculated at checkout once you enter your shipping address.
2. Customs & Import Fees
All international shipments are subject to local customs regulations. Import duties, taxes, or other fees may be charged by your country's customs authority upon arrival.
Our shipping term is FOB Shenzhen, which means these fees, if any, are the customer's responsibility. The shipping carriers will assist with the customs clearance process to ensure smooth delivery.
If a package is returned due to unpaid customs duties, any related return or reshipping fees will be deducted from your refund.
3. Order Processing Time
Orders are typically processed within 24 hours after placement and shipped the next business day.
Orders placed on weekends or public holidays will be shipped on the next working day.
Once shipped, you will receive a confirmation email with tracking information.
