• LIDAR

  real-time map and location of lidar

  When Xiaoqiang is equipped with the laser radar, it can make environment mapping and robot navigation easy and quick. In the use of LIDAR, the robot is required to provide more accurate odometer information. Xiaoqiang's odometer is fused with a gyroscope and encoder, with high accuracy. From this video, As we can see that in a large range (200mx400m) the map built by Xiaoqiang is still very accurate.

• XQ5

  XQ5 movement examples

  The XQ5 in this video is equipped with 3D lidar, which can be used to create an environment map and navigate using lidar data. It can be seen from the video that XQ5 movement is smooth, flexible and has good control performance.

• Mono Vision

  Visual Navigation

  Xiaoqiang uses the camera to collect the ambient image and uses its powerful computational ability to identify the 3D structure of the environment. The red and green dots in the video are the environmental feature points that it recognize. The map in the lower left corner of the video is its identified environment. As we can see that Xiaoqiang can run the Visual Slam program smoothly, and provide very accurate positioning information.

• RGBD

  RGBD

  Obstacles are randomly placed on the ground. Xiaoqiang obtains the information of the obstacle through the depth camera. The green curve in the video is the target line and location of Xiaoqiang. Xiaoqiang planning its path in real time according to the situation of obstacles. That is, the blue curve in the video. It can be seen that even in a very complex obstacle environment, Xiaoqiang can move smoothly to the target position.

• Inertial navigation

  Inertial navigation

  Inertial navigation is to use only the information provided by the car'sown gyroscope and encoder for navigation. The car in the video walked a 1M x 1M square under the control of the inertial navigation program.The image on the left is the actual movement of the car, and the right is the real-time position display of the car in the computer interface.

• Speech recognition and follow

  Speech recognition and follow

  Xiaoqiang recognizes target's voice commands and then initiates the following program. Follow the movement of the target.

Xiaoqiang XQ-5 is a robot platform specially developed for ROS and SLAM technology. It has powerful computing capabilities, long-lasting battery life and flexible movement capabilities, and is very suitable for developing ROS-based navigation and machine vision algorithms. The main controller ofXiaoqiang is a mini computer with i7 processor, including 8G memory and 128G solid-state hard disk. This hardware configuration ensures Xiaoqiang's powerful computing capabilities. The battery is a 36V 18AH lithium polymer battery, which has been tested to ensure continuous use for more than seven hours.
Xiaoqiang XQ-5 is an upgraded version of the Xiaoqiang XQ4. The motor is replaced from a DC brush motor to the hub motor, the structure is also optimized, load-bearing capacity is stronger. Xiaoqiang can carry 50 kilograms, running more smooth and quiet.