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Today, I'll tell you how Apollo accelerates the landing of service robot applications. The content of the article is good. Now I would like to share it with you. Friends who feel in need can understand it. I hope it will be helpful to you. Let's read it along with the editor's ideas.

Some time ago, at a thank-you dinner held at the Porsche Center on the south bank, an intelligent service robot RS-14 attracted the attention of countless people at the scene. It is a showroom service robot based on the chassis of Silan Apollo (Apollo) robot. It can perfectly carry out the functions of guidance and navigation on the spot, and the most important thing is that it can walk independently and avoid obstacles.

Apollo is a new generation of small and medium-sized robot development platform launched by Silan Technology, which aims to help robot companies accelerate the landing of service robot products without spending too much research and development costs and energy in the underlying robot walking technology. At the same time, it provides open software and hardware interface based on RoboCloud cloud service, which makes robot development easier.

We all know that the premise for the robot to walk independently is to achieve autonomous positioning and navigation, and the Apollo robot chassis is equipped with lidar sensors, ultrasonic sensors, anti-fall sensors and other sensors. And configure the depth camera sensor on the chassis. At the same time, with the self-developed SLAMWARE autonomous navigation and positioning system, the robot can realize the functions of independent mapping, positioning and navigation.

When Apollo is in an unknown environment, there is no need to modify the environment, using SharpEdgeTM fine composition technology to build a high-precision, centimeter-level map with ultra-high resolution and no error accumulation. At the same time, the use of D* dynamic real-time path planning algorithm to find the path and move to the designated location, without secondary optimization, can directly meet people's expectations.

In addition, based on the pure software mode, no additional auxiliary laying is needed, the Apollo can be scheduled to be routed, or the Apollo can be prevented from entering a work restricted area by setting virtual walls and virtual tracks.

In the working process, when the power of the Apollo is too low, it can support the scheduled charging autonomous navigation and positioning that can be scheduled externally, and automatically return to the charging dock to charge.

In addition to the above core functions, the expansion interface of Apollo also integrates network interface, power supply interface and various control interfaces, so that users can develop and expand quickly. Apollo can communicate with the outside through wired network or WIFI, its own battery can power its own and external expansion modules, and users can control the whole Apollo and its upper expansion modules through various control interfaces.

This is all about how Apollo accelerates the landing of service robot applications. For more information about how Apollo accelerates the landing of service robot applications, you can search the previous articles or browse the following articles to learn! I believe the editor will add more knowledge to you. I hope you can support it!

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