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Hiwonder
JetAcker ROS Education Robot Car with Ackerman Structure Powered by Jetson Nano B01 Autonomous Driving SLAM Mapping Navigation Learning Teaching Kit
Product SKU: HW2019356
- 【Classic Ackermann Steering Structure】JetAcker is built upon an Ackermann chassis providing an opportunity to learn and validate robots based on the Ackermann steering structure.
- 【Dive in AI Algorithm】JetAcker runs on NVIDIA Jetson Nano B01, supports ROS, utilizes deep learning frameworks, MediaPipe, YOLO training, and TensorRT acceleration for diverse 3D machine vision applications.
- 【SLAM Development and Diverse Configuration】JetAcker is equipped with a 3D depth camera and Lidar, enabling remote communication, precise 2D mapping navigation, TEB path planning, and dynamic obstacle avoidance.
- 【High-performance Hardware Configurations】JetAcker features an aluminum alloy bracket, CNC steering, and a range of hardware: 100mm rubber wheels, 520 Hall encoder motors, Lidar, ORBBEC Astra Pro Plus camera, 240° pan-tilt, multi-functional expansion board, motor driver, and 11.1V 6000mAh Lipo battery.
- 【Robot Control Across Platforms】JetAcker provides multiple control methods, like WonderAi app (compatible with iOS and Android system), wireless handle, Robot Operating System (ROS) and keyboard.
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Product Description
JetAcker is 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, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, somatosensory interaction, and KCF target tracking. Moreover, with JetAcker, you can learn and validate various robotic SLAM algorithms.
Ackerman Steering Structure Pendulum Suspension
The rear wheels of the chassis are always in a parallel state. When turning, the inner wheel rotation angle is greater than the outer wheel rotation angle. Steering through the difference in rotation angle of the inner and outer wheels is called Ackermann steering.
Equipped with Lidar & Supports SLAM Mapping Navigation
JetAcker is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.
CNC Steering System
Full-metal CNC high-precision components combined with strong-bearing intelligent servo provides exceptional rotational force.
High-density Solid Wheel
Payload capacity, deformation resistance, reduced friction coefficient and minimized mechanical wear, resulting in an extended lifespan.
Pendulum Suspension Structure
High-precision pendulum suspension structure balances the force, enabling good adaptability to uneven surfaces while preventing any impact on motor.
240° High-performance Pan-tilt
It is driven by an serial bus servo which provides over-temperature protection. Its up to 240° rotation range extends JetAcker's exploration ranges.
Function List
3D Vision Al Upgraded Interaction
JetAcker is equipped with a 3D depth camera, supports 3D vision mapping and navigation, and can obtain 3D point cloud images. Through deep learning, it can realize more AI vision interactive gameplay.
MediaPipe Development, Upgraded AI Interaction
JetAcker utilizes MediaPipe development framework to accomplish various functions, such as human body recognition, fingertip recognition, face detection, and 3D detection.
Fingertip Trajectory Recognition
Human Body Recognition
3D Detection
3D Face Detection
AI Vision Interaction
By incorporating artificial intelligence, JetAcker can implement KCF target tracking, line following, color/ tag recognition and tracking, YOLO object recognition and more.
KCF Target Tracking
Relying on KCF filtering algorithm, the robot can track the selected target.
Vision Line Following
JetAcker supports custom color selection, and the robot can identify color lines and follow them.
Color/ Tag Recognition and Tracking
JetAcker is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.
YOLO Object Recognition
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
6CH Far-field Microphone Array
This 6CH far-field 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.
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
JetAcker is built on the Robot Operating System (ROS) and integrates with Gazebo simulation. This enables effortless control of the robot in a simulated environment, facilitating algorithm prevalidation to prevent potential errors. Gazebo provides visual data, allowing you to observe the motion trajectories of each endpoint and center. This visual feedback facilitates algorithm enhancement.
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
Provide an accurate URDF model, and observe the mapping navigation effect through the Rviz visualization tool to facilitate debugging and improving algorithms.
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.
Ackermann Wheel
It has the advantages of high load and no deformation, which prevents the tire from falling due to overweight of the vehicle body, effectively reduces the friction coefficient and mechanical loss, and extends the tire life.
Multi-functional Expansion Board
The expansion board has a built-in IMU sensor which can detects 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.
Lithium Battery Parameters
The fuselage has a built-in 11.1V 6000mAh large-capacity lithium battery to improve the robot's endurance.
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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
| Size: | 316*259*242mm |
| Weight: | 4.8kg |
| Material: | Full-metal hard aluminum alloy bracket |
| Battery: | 11.1V 6000mAh Lipo battery |
| Continuous working life: | 90min |
| Hardware: | ROS controller and ROS expansion board |
| Operating system: | Ubuntu 18.04 LTS + ROS Melodic |
| 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): | 375* 305*230mm |
| Package weight (advanced kit): | About 5.8kg |
Product Parameters
Dimensional Diagram
SLAMTEC A1 Lidar Parameters
EAI G4 Lidar Parameters
Depth Camera Parameters
6CH Far-Field Microphone Array Parameters
7-inch LCD Screen Parameters
HTS-20H Servo Parameters
Abundant Learning Materials
JetAcker Starter Packing List
JetAcker Standard Packing List
JetAcker Advanced Packing List
| Item | Specification |
| Size | 316*259*242mm |
| Product weight | 4.8kg |
| Material | Full-metal hard aluminum alloy bracket (anodized) |
| Battery | 11.1V 6000mAh lithium battery |
| Continuous working life | 90min |
| Hardware | ROS controller and ROS expansion board |
| Operating system | Ubuntu 18.04 LTS + ROS Melodic |
| 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) | 375* 305* 230mm |
| Package weight (advanced kit) | About 5.8kg |
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