ROSMASTER R2 is a mobile car with Ackerman steering structure developed based on ROS robot operating system. It supports Jetson NANO, TX2 NX, Jetson Xavier NX and Raspberry Pi 4B as main control boards. R2 is equipped with high-performance hardware configurations such as laser radar, depth camera, voice interaction module, 520 motor racing rubber tire, which can realize robot mapping navigation, obstacle avoidance, automatic driving, human feature action recognition, voice interaction control and other functions. It also supports mobile phone APP, wireless handle, ROS operating system, computer keyboard and other remote control methods. And we will provide 105 lesson teaching videos and many source codes for users' reference.
Ackerman steering chassis(motors and tires have been installed)
520 gear motor550RPM*2(Installed)
Lidar fixing plate
Light bar fixing plate
Camera fixing plate
Racing rubber wheels *4
White glue light guide
ROS car expansion board *1
USB HUB expansion board *1
OLED screen board *1
LED light bar*1
6000MAH 12.6V power battery and battery charger *1
Game handle and handle phone holder *1
Network card antenna
Astra Pro depth camera and fixing bracket
SLAM A1M8 lidar
Several connection line
SLAM A1M8 lidar adopts triangulation ranging measurement method, measuring radius is 0.15m~12m, sampling frequency is 8K, and it can easily realize indoor mapping and navigation functions in combination with ROS robot system.
AstraPro depth camera supports manual adjustment of pitch angle, which can not only realize all AI visual play methods of high-definition camera, but also realize advanced play methods such as depth image data processing, 3D navigation mapping, etc.
ROSMASTER R2 supports the main controllers of Raspberry Pi and Jetson series, and the use method is basically the same. Both of them use the ubuntu system. Different master controllers only affect the performance of ROSMASTER R2 robot. The course materials, product functions and control software provided by us are consistent.
Ackerman steering is a modern vehicle steering mode. ROSMASTER R2 uses an aluminum alloy Ackerman chassis structure. When R2 robot turns, the inside and outside wheels turn at different angles. The turning radius of the inner tire is smaller than that of the outer tire.
It not only supports iOS/Android dual system playing APP control, but also provides map building navigation APP to meet the requirements of multi scene APP control. It is equipped with a live person game controller as standard, and combined with the mobile phone APP, you can experience an immersive sense of control.
ROSMASTER R2 supports mapping algorithms such as gmapping, hector, karto, and cartographer.
Multiple robots can realize multi-robot navigation and dynamic obstacle avoidance under the same map.
ROSMASTER R2 supports DWA path planning, single point and multi-point autonomous navigation.
Lidar can detect the surrounding environment in real time, avoid obstacles in front or follow the nearest target to the lidar in real time.
The RTAB algorithm is used to fuse the vision and radar, realizing the robot 3D vision mapping and navigation obstacle avoidance, supporting global relocation and autonomous positioning.
ORB-SLAM2 is an open source SLAM framework that supports monocular, binocular, and RGB-D cameras. It can calculate the camera's position and pose in real time and simultaneously reconstruct the surrounding environment. Real scale information can be obtained in RGB-D mode.
ROSMASTER R2 is equipped with a high-performance voice interaction module. By sending voice commands, it can control the car's motion state, color tracking, color recognition, automatic driving, mechanical arm handling/sorting and other creative play methods. ROSMASTER has the characteristics of "hearing and answering".
The robot can track the color of the target in real time by selecting the color on the screen.
The image based correlation KCF algorithm can select any object in the image and follow the target in real time.
Compared with several other ROSMASTER robots of Yahboom, the biggest advantage of this R2 small car is that it uses Ackerman chassis structure, 65mm metal wheel large friction rubber tires, and a faster speed 520 motor (12v output 550rpm), which can flexibly complete the turn and is suitable for some racing small car competitions. Like other ROS cars, it can also complete the AI visual recognition function and support a variety of different remote control methods, without much difference in functions.