Xiaoqiang users won the first prize in the International Makers Competition!
The International Youth Makeup Marathon is a nationalized event that encourages college students to innovate and start a business. Xiaoqiang users have purchased our Xiaoqiang robot development platform because of Qiangqiang’s powerful computing performance and tutorial cases, and through the unremitting efforts, realized the scene of Xiaoqiang robot. Applying to the practice of innovation, it has achieved good results. It has received unanimous praise from the judges and finally won the first prize of this competition. Xiaoqiang is a helper. Xiaoqiang is committed to helping you on your research path. With one strength, grow with you, you can make Xiaoqiang the perfect partner in your mind, depending on your creativity!
Galileo visual navigation system successfully applied to forklift positioning scene
The Galileo visual navigation system of the Blue Whale Intelligent Robot is successfully applied in the warehouse of a certain enterprise in Dongguan. The Galileo visual navigation system can obtain the real-time positioning of the forklift in the factory through a single camera. The positioning information is summarized and used in the ERP system of the company’s factory. Statistics and overall scheduling, this application marks the official entry of the Blue Whale Galileo visual navigation system into the field of industrial logistics, and has achieved success.
The factory warehouse in this scene has a total of 6 workshops, more than 10,000 square meters. After the forklift is equipped with the Galileo visual navigation system, real-time positioning can be obtained, and the location is displayed on the map, and the positioning system does not require the forklift to have the odometer and other information uploaded. Full control of the system independent of the forklift, so the independence of the system facilitates the installation and docking of the system, simplifying the application process and reducing the hardware threshold.
The visual positioning solution is finally complete
The visual positioning solution is finally complete
Visual positioning and navigation algorithms are the focus of current robot research, and they are also the hotspots that everyone is studying. In actual use scenarios, the need for visual positioning is also large. However, there has been no mature visual positioning navigation solution in China. Today we finally succeeded in realizing a solution for visual positioning.
Below is a video of our test comparing the visual positioning algorithm with the general method of using the gyroscope inertial positioning.
The test environment is Xiaoqiang (http://www.bwbot.org/zh-cn/content/xiaoqiang), a comprehensive development platform for ROS we developed. We use remote control to let Xiaoqiang repeat a square track with a length of about 1mX2m on the ground. Xiaoqiang also returns the coordinates calculated by the two groups according to Xiaoqiang’s gyroscope and camera. The above video is the position coordinates of Xiaoqiang displayed in real time on the computer. The red line represents the coordinates determined by the visual positioning algorithm, and the green line represents the small strong position coordinates determined from the gyroscope and motor encoder data. It can be seen that the results obtained by the first two methods are basically the same. As the number of turns around the gyroscope increases, the error of the gyroscope increases, but the coordinates calculated by the visual positioning do not change. This is also the advantage of a visual positioning algorithm.
Many of today’s restaurant delivery robots still use electromagnetic or mechanical rails to position the robot. Such an approach not only has a large cost to be retrofitted, but also has a high maintenance cost, and has a great influence on the overall decoration of the restaurant. With the visual positioning algorithm, no rails are needed to aid positioning. The robot has an eye that can really be used. The same industrial AGV robot can also provide more precise coordinates to the robot by means of visual positioning.
After a long period of test development, we have developed a stable and complete visual navigation system. That is, the Galileo visual navigation system. More detailed information can be found here (http://www.bwbot.org/zh-hans/content/galileo).
Introduction to Galileo system documentation (https://galileo-servicebot-doc.bwbot.org/)
The Galileo Vision Navigation System is a robotic positioning and motion control system that incorporates multiple sensors and is guided by visual navigation. The positioning and navigation functions of the robot can be realized by loading the system. It is suitable for various application scenarios such as automatic inspection robot industry AGV, service robot and so on.
Below is an action video that includes creating a map and saving the map. More details can be found on the Galileo system related pages.
The visual navigation algorithm was first applied to the production environment.
Recently received a robot order from the user. The user needs to make an exhibition robot and put it in his showroom. The entire exhibition hall is about 30 meters long, and the products of the user exhibition are arranged in turn on the side of the exhibition hall. Users need robots to stop at the products of each exhibition and introduce the product. At present, this user’s robot uses a tracking method, which puts a black route on the floor and indicates the first few products at that time. However, the user is very dissatisfied with these black lines and feels that the atmosphere of the entire exhibition hall is destroyed.
This situation must use our visual positioning system. However, our visual positioning system is not yet mature, and the program can be accurately and stably operated. But since users have such a demand, they can only try it.
The video above is a visual display of visual navigation. It can be seen that the visual positioning is highly accurate and works very stable. The program sets the car to run in the same direction as the black line. No matter how humans interfere, the car can return to its original direction. This is not possible with inertial navigation using gyroscopes and encoders. Inertial Navigation Once the wheels slip, the positioning creates an unrepairable error.
Above is a broader test video. So far, Xiaoqiang’s visual navigation system has finally been used in the production environment.