MROS Lidar Car
ROS Wheel Radar Vehicle
Depth Camera · Mecanum Wheel Car
NEW
Intelligent UAV
7-inch HD touch panel SLAM Mapping and navigation Real time video transmission
WIFI Wireless remote control Mecanum wheel Travel mode Intelligence Visual line patrol
360°Lidar 2.4G wireless Handle remote control HD Depth camera
NVIDIA
JETSON NANO
Product Features
| 360 ° laser measurement radar Large range measurement with a radius of 12m
It can scan and detect the surrounding environment 360 ° and in all directions, and has optical magnetic fusion technology for stronger stability
① 12m radius measurement range ② 360 ° scanning detection ③ 8000 times/s measurement range ④ OPTMAG optical magnetic fusion |
Depth camera Real time video transmission
Can be used for secondary development of visual recognition and SLAM robots with RGBD depth and deep learning capabilities
① Infrared projection module ② Facial proximity perception module ③ USB interface ④ RGB camera module ⑤ IR camera module |
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Mecanum wheel
Mecanum wheel moves in all directions
Mobile phone control ROS microphone wheel radar car can make the car move in all directions in meters
Three controllable speed adjustments: low speed, medium speed, and high speed
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-machine interaction system" and a "ROSXRMaster" exclusive APP,
which can achieve real-time interactive operations such as mapping or navigation on the mobile phone,
even without programming foundation It can also be easily used.
① Navigation interface ② Building interface
Touch screen control
7-inch touch screen for real-time control
Easy to use ROS robot user interaction system
path planning Indoor autonomous path planning Multi point positioning function, autonomous path planning, avoiding obstacles, reaching the destination point in sequence | Dynamic Obstacle Avoidance 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 |
Application Extension
Application of SLAM Algorithm Technology
The SLAM algorithm can be applied to mainstream unmanned automatic delivery robots and household sweeping machines
Robotics and other fields
Product parameter
① Depth camera | ⑤ NANO Quad core ARM (quad core A57) |
② RPLIDAR A1 radar | ⑥ McNam Wheel |
③ 7-inch HDMI display screen | ⑦ Super strong racing motor |
④ The car body is made of 3D printed epoxy resin and acrylic aluminum alloy |
Specifications | Name | Specifications | Name |
Product Name | MROS Wheel Radar Vehicle | Bottom driver board | 128-Maxwell |
Core processor | JETSON NANO Quad core ARM quad core A57 | Vehicle weight | 3220g |
Vehicle dimensions | 320*270*250mm(L*W*H) | Network card | intel8265 |
Camera | Depth camera | Scope of control | ≤30M |
Radar | Rplidar A1 | Usage time | 2-5 hours |
Programming language | Python/C++language | Display screen | 1080P high-definition touch screen (capacitive screen) |
Motor | DC brushed motor (with built-in 360 wire AB code) | Speed | 0.8m/s |
Battery Specifications | 10000mah 12.6V | / | / |
Shipping List
Product List Display
1. MROS car whole machine | 5. 2.4G Mini Wireless Keyboard and Mouse Drive Free |
2. High definition depth camera | 6. Data cable |
3. Control handle | 7. Screwdriver |
4. Instruction manual | 8. Card reader |
Gift materials Provide supporting ROS paper book courses Entering the world of ROS and robots from scratch |
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Our services
About express delivery | Gift materials | Technical Support |
Our goal is to continuously improve our own technical capabilities and place greater emphasis on the customer's product experience.
