% $-659.99
Hiwonder
Hiwonder JetTank ROS Robot Tank Powered by Jetson Nano with Lidar Depth Camera Touch Screen, Support SLAM Mapping and Navigation
Product SKU: HW2019273
- Powered by NVIDIA Jetson Nano and based on ROS
- Support depth camera and Lidar for mapping and navigation
- Optional 7-inch touch screen for parameter monitoring and debugging
- Optional 6-microphone array for voice interaction
- Open-source, and ample PDF materials and tutorials are provided
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Product Description
JetTank is a ROS tank robot tailored for ROS learning. It is loaded with NVIDIA Jetson Nano,
high-performance encoder motor, Lidar, 3D depth camera and 7-inch LCD screen, which open up more
functionalities. Robot motion control, mapping and navigation, path planning, tracking and obstacle avoidance,
autonomous driving, human feature recognition, somatosensory interaction and voice interaction all can be
achieved!
Diverse combination of the hardware makes JetTank 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!
Diverse combination of the hardware makes JetTank 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!
JetTank is a ROS tank robot tailored for ROS learning. It is loaded with NVIDIA Jetson Nano, high-performance encoder motor, Lidar, 3D depth camera and 7-inch LCD screen, which open up more functionalities. Robot motion control, mapping and navigation, path planning, tracking and obstacle avoidance, autonomous driving, human feature recognition, somatosensory interaction and voice interaction all can be achieved!
Diverse combination of the hardware makes JetTank 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!
Diverse combination of the hardware makes JetTank 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
NVIDIA Jetson Nano is able to run mainstream deep learning frameworks, such as TensorFlow,
PyTorch, Caffe/ Caffe2, Keras, MXNet. Provide powerful computing power for massive AI projects. Powered by
Jetson Nano, JetTank can implement image recognition, object detection and positioning, pose estimation,
semantics segmentation, intelligent analysis and other almighty functions.
NVIDIA Jetson Nano is able to run mainstream deep learning frameworks, such as TensorFlow, PyTorch, Caffe/ Caffe2, Keras, MXNet. Provide powerful computing power for massive AI projects. Powered by Jetson Nano, JetTank can implement image recognition, object detection and positioning, pose estimation, semantics segmentation, intelligent analysis and other almighty functions.
Lidar Functions
Lidar Functions
2D Lidar Mapping and Navigation
JetTank 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.
Single-point Navigation, Multi-point Navigation
JetTank employs Lidar to detect the surroundings in real time to achieve single-point
navigation as well as multi-point navigation.
TEB Path Planning, Obstacle Avoidance
It 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.
RRT Autonomous Exploration Mapping
Adopting RRT algorithm, JetTank can complete exploration mapping, save the map and
drive back to the starting point autonomously, so there is no need for manual control.
2D Lidar Mapping and Navigation
JetTank 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.
Single-point Navigation, Multi-point Navigation
JetTank employs Lidar to detect the surroundings in real time to achieve single-point
navigation as well as multi-point navigation.
TEB Path Planning, Obstacle Avoidance
It 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.
RRT Autonomous Exploration Mapping
Adopting RRT algorithm, JetTank can complete exploration mapping, save the map and drive
back to the starting point autonomously, so there is no need for manual control.
Lidar Tracking
By scanning the front moving object, Lidar makes robot capable of target tracking.
Lidar Guarding
Guard the surroundings and ring the alarm when detecting intruder.
Depth Camera
Depth Camera
RTAB-VSLAM 3D Mapping and Navigation
Depth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision
and Lidar, which allows JetTank to navigate and avoid obstacle in 3D map, as well as re-locate
globally.
ORBSLAM2 + ORBSLAM3
ORB-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.
Depth Map Data, Point Cloud
Through the corresponding API, JetTank can get depth map, color image and point cloud
of the camera.
MediaPipe Development, Upgraded AI Interaction
Based on MediaPipe framework, JetTank can carry out human body recognition, fingertip
detection, face detection, 3D detection and more.
RTAB-VSLAM 3D Mapping and Navigation
Depth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision and
Lidar, which allows JetTank to navigate and avoid obstacle in 3D map, as well as re-locate globally.
ORBSLAM2 + ORBSLAM3
ORB-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.
Depth Map Data, Point Cloud
Through the corresponding API, JetTank can get depth map, color image and point cloud of
the camera.
MediaPipe Development, Upgraded AI Interaction
Based on MediaPipe framework, JetTank can carry out human body recognition, fingertip
detection, face detection, 3D detection and more.
Deep Learning, Autonomous Driving
With JetTank, you can design an autonomous driving scenario to put ROS into practice,
which enables you to better understand core functions of autonomous driving.
Deep Learning, Autonomous Driving
With JetTank, you can design an autonomous driving scenario to put ROS into practice, which enables you to better understand core functions of autonomous driving.
Road Sign Detection
Road Sign Detection
Through training deep learning model library, JetTank can realize autonomous driving with AI
vision.
Lane Keeping
Lane Keeping
JetTank is capable of recognizing the lanes on both sides to maintain safe distance between it
and the lanes.
Traffic Light Detection
Traffic Light Detection
JetTank determines whether go or stop through recognizing the traffic light.
AI Deep Learning Framework
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
KCF Target Tracking
Relying on KCF filtering algorithm, the robot can track the selected target.
Color/Tag Recognition and Tracking
JetTank is able to recognize and track the designated color, and can recognize multiple AprilTag 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 AprilTag.
Far-field Microphone Array Far-field Microphone
Array
This 6-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.
This 6-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
Sound Source Localization
Voice Interaction
Voice Navigation
InterconnectedMotorcade Interconnected
Motorcade
Multi-vehicle Navigation
Depending on multi-machine communication, JetTank can achieve
multi-vehicle navigation, path planning and smart obstacle avoidance.
Multi-vehicle Navigation
Depending on multi-machine communication, JetTank can achieve multi-vehicle navigation, path planning and smart obstacle avoidance.
Intelligent Formation
A batch of JetTank cars can maintain the formation, including horizontal line, vertical
line and triangle, during moving.
Group Control
A group of JetTank can be controlled by only one wireless handle to perform actions
uniformly and simultaneously.
ROS Robot Operating System
Global Popular Robotic Communication Framework
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
Gazebo Simulation
JetTank employs ROS framework and supports
Gazebo simulation. Gazebo brings a fresh approach for you to control JetTank and verify the algorithm in simulated
environment, which reduces experimental requirements and improves efficiency.
JetTank employs ROS
framework and supports Gazebo simulation. Gazebo brings a fresh approach for you to control JetTank and verify the
algorithm in simulated environment, which reduces experimental requirements and improves efficiency.
JetTank Simulation Control
The kinematics algorithm can be verified in simulation to speed up algorithm iteration and
reduce the experiment cost.
Visual Data
RViz can visualize the mapping and navigation result, which facilitates debugging and
improving algorithm.
Various Control Methods
Various Control Methods
WonderAi APP
Map Nav APP (Android Only)
Wireless Handle
Product Structure
SLAMTEC A1 Lidar
SLAMTEC A1 Lidar
ORBBEC Astra Pro Depth Camera
ORBBEC Astra Pro Depth Camera
iFLYTEK Far-field Microphone Array Module
iFLYTEK Far-field Microphone Array Module
HD 7-inch LCD Touch Screen
HD 7-inch LCD Touch Screen
Flexible Pan Tilt
Flexible Pan Tilt
Core Accessories
Core Accessories
Multi-functional Expansion Board
The 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.
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.
11.1 V 6000mAh Lipo Battery
This large-capacity Lipo battery can better power the robot and prolongs robot’s working
life.
Encoder Motor Driver
JetTank is equipped with 4-channel encoder motor driver making it easier to control
motor.
Product Parameter
Difference between Robot Kits
JetTank Starter Kit
JetTank Standard Kit
JetTank Advanced Kit
| Item | Specification |
| Size | 306 * 246 * 286mm |
| Weight | 2.9kg |
| Material | Full-matal hard aluminum alloy bracket(anodized) |
| Battery | 11.1V 6000mAh Lipo battery |
| Continuous working life | 60min |
| 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) | 335*320*225mm |
| Package weight (advanced kit) | about 4kg |
| Hall Encoder Geared Motor | Rated voltage: 12V Rated power consumption: 2.4W Motor type: permanent-magnet brush Stall current: 3A Stall torque: 15kgf.cm Rated current: 0.2A Rated torque: 10kgf.cm Reduction ratio: 1 : 90 Rotation speed (before reduction): 10000rpm Rotation speed (after reduction): 110± 10rpm Output shaft: D-type eccentric shaft of 6 mm diameter Encoder type: Hall encoder Interface: PH2.0 - 6P Power supply: 3.3 - 5V |
| Lipo Battery | Voltage: 11.1V Capacity: 6000mAh Plug: DC 5.5 * 2.5 female/ SM-2P male |
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