Zevon EduBot
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent
  • Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent

Jetson NANO radar track programming car ROS robot SLAM mapping navigation intelligent

Jetson Nano ROS tracked robot practical experience: building laser radar SLAM mapping and autonomous navigation system from scratch

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Black Package Category:Bulk Shipping
Black Package Category:Finished Product Shipping (Ready to Play)
Golden Package Category:Bulk Shipping
Golden Package Category:Finished Product Shipping (Ready to Play)

USD 667

output value: Monthly Output100

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Complete textbook materials

Gift books and accompanying materials


Jetson Nano

SLAM laser radar intelligent car

ROS Robot Platform

                                LiDAR                                                LiDAR                             Indoor positioning                    Human tracking            

                         Building a map                               Building a map                      obstacle avoidance                    Object tracking

                            Car display                                              LiDAR                                     Camera                                      ROS

                                                                                      path planning                                Visual patrol line                      Mileage feedback


Features

Detail Display

Laser scanning ranging radar

XR-Lidar S1

Meet Class | level laser safety standards

 

OPTMAG

Optical magnetic fusion

 

08 meter radius measurement range

360 degree scanning distance measurement

3860 times/second measurement frequency

SLAM algorithm

 

Laser triangulation technology

Using SLAM algorithm

Easy scanning of building construction maps

(Internally integrated with gmapping and hector/Harto algorithms)

ROS

Jetson Nano&self-developed driver board

 

① Jetson Nano motherboard

② ROS Robot Driver Board

Radar scrolling lights are coming! Cool

 

7 rainbow colors, 8 display modes

(1 scrolling light display mode+7 monochrome display modes)


Easy to use ROS robot user interaction system

XR-ROS Human Computer Interaction System

The robot is equipped with a self-developed "XR-ROS Human Computer Interaction System" and a dedicated "ROS-SLAM Robot" APP, which can achieve real-time interactive operations such as mapping or navigation on the mobile phone. 

Even without programming foundation, it can be easily used.

① PID closed-loop speed compensation      ② Navigation interface           ③ Building interface


Touch screen control

7-inch touch screen for real-time control

Easy to use ROS robot user interaction system

1. The system status is clear at a glance, making it easy to troubleshoot and debug;

2. Accurate battery level display, automatic low battery reminder for charging.


Map construction and autonomous navigation

In the era of artificial intelligence

ROS robots are the right choice for your learning

Logical thinking ability             Practical innovation ability             Problem solving ability

Hands on creative ability            Imaginative analytical ability


Product Parameters

① Robot Eyes second-generation 1080P high-definition camera

④ 9-axis gyroscope

② 7-inch touch screen

⑤ Large size aluminum alloy body

③ XR Lidar S1 LiDAR

⑥ Jetson Nano motherboard&self-developed driver board

Specifications

Details

Specifications

Details

ROS Robot Control Board

Jetson Nano

Programming language

Python,C++

Vehicle size

280mm×242mm×300mm

Camera

1080P

Battery

8400mAh lithium battery with charging protection

Digital display voltage

Screen digital display

Motor

DC brushed motor (with built-in 360 wire AB code)

IMU

Nine axis gyroscope sensor

Programming software

RoboWare Studio

Virtual machine

Ubuntu 18.04

Bottom driver board

STM32F105

Weight

About 3 kilograms

Size

300*240*325

Display screen

7-inch 1080 high-definition touch screen

Network card

Intel8625

Radar

XR_Lidar S1

Motor torque

3.5N·m

Interface

USB/HDMI power interface


Jetson Nano ROS Robot

6 Major advantage

                      1  First

SLAM laser radar construction map

Select XR Lidar S1 LiDAR, support gmapping, Hector/Harto algorithms to construct maps, and support keyboard, mouse, and selection area to construct maps.


                                      2 Second

Indoor automatic obstacle avoidance and indoor positioning

Indoor autonomous navigation dynamic obstacle avoidance.

Based on the indoor map, plan the path and perform secondary planning when the road is blocked to achieve dynamic obstacle avoidance

Indoor multi-point positioning function, autonomous path planning, avoiding obstacles, and arriving at the destination in order


                        3 Third

Laser object tracking camera patrol line

Lidar tracks human walkingBased on OpenCV camera line patrol


                           4 Fourth

Exclusive mobile app for controlling robots

Provide Android mobile app software, complete WIFI video monitoring and control functions, complete app mapping and autonomous navigation functions. The mobile app controls the movement, car position setting, navigation target setting, and path display.


                       5 Fifth

Application of SLAM Algorithm Technology

Through the SLAM algorithm learned from ROS LiDAR intelligent car,

It can be applied to mainstream fields such as unmanned automatic delivery robots and household sweeping robots.


     6 Sixth

Gift materials

Provide robot supporting materials

Paper based introductory learning materials/basic knowledge can also be easily mastered

The materials include (main materials/assembly videos/guidance videos/code analysis/development source code)


Shipping List

Product List Display

1. Chassis components (color options available)

12. Velcro

23. Screw M3-16*4

2. 1080P HD Camera

13. Screw M3*15

24. nano network card *1

3. XR_Lidar S1 Radar

14. Nut M3*15

25. Screw M2*4

4. JETSON NANO

15. Single-head copper post M3*4

26. Antenna *2

5. Power supply board

16. Screw M2.5*8

27. Lithium battery charger *1

6.7-inch HDMI Display

17. Nut M2.5*4

28. Data cable *2

7. Acrylic A-board

18. Isolation column *12

29. Android extension cable

8. Display-equipped Edition

19. Single-head copper post M3*4

30, 64GB memory card

9. Battery (8400mAh)

20. Dual-threaded M3-45*4

31. HDMI extension cable

10. 9-axis gyroscope

21. Hexagon double tee m3-25*4


11. 2.4G Mini Wireless Keyboard and Mouse (Plug-and-Play)

22. Nut M2*4



Our services

About express delivery
If there is a specific express delivery requirement, please contact customer service to confirm the shipping cost.

Gift materials
The product provides supporting information, which can be provided by contacting customer service after arrival.

Technical Support
Support technical support. If you have any functional questions, you can join the technical communication group

Our goal is to continuously improve our own technical capabilities and place greater emphasis on the customer's product experience.

Supplier Information

Email:ZevonEduBot@ttbridge.com

Tel:17734786008

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