With breakthroughs in artificial intelligence technology and declining costs of core components, the intelligent service robot industry has experienced rapid development. The demand for robot chassis based on autonomous positioning and navigation is also increasing. These chassis perform multiple functions, including robot positioning, navigation, and obstacle avoidance, making them an indispensable piece of hardware for robots. So, what core technologies make up this crucial robot chassis? Today, we'll explain the structure of a robot chassis.
1. Core internal components of the robot chassis
Taking SLAMTEC's Apollo robot chassis as an example, the internal structure of Apollo mainly consists of core hardware such as LiDAR sensors , depth cameras, ultrasonic and anti-fall sensors, and the modular positioning and navigation system SLAMWARE. This gives it a reliable and easy-to-use autonomous positioning and navigation solution. The multi-sensor fusion combined with navigation algorithms allows for more flexible planning of robot routes.
LiDAR sensor
Using a lidar sensor, the surrounding environment can be scanned in real time to provide map data, build a map with an accuracy of up to 5cm, and realize autonomous path planning and navigation functions based on the map data;
Depth camera sensor
Depth camera sensors can detect obstacles located above the radar scanning plane and send signals in time for avoidance;
Ultrasonic sensor:
When working, ultrasonic sensors can accurately detect obstacles made of highly transparent materials such as glass and mirrors, thus enabling timely avoidance before approaching these objects;
Anti-drop sensor:
Fall protection sensors help robots detect their surrounding work environment in 360°, determine whether there are boundaries, steps, slopes, or other obstacles in the work area, and send a request signal to avoid falling.
Modular Positioning and Navigation System (SLAMWARE)
The modular positioning and navigation system has a built-in SLAM engine core module for navigation and positioning. It is highly integrated and does not require external computing resources. It can directly output the robot's environment map, positioning coordinates and attitude. It has multiple built-in robot motion control algorithms, which can provide centimeter-level positioning and mapping accuracy. It can plan paths in real time in unknown environments, perform obstacle avoidance navigation, and autonomously find the shortest path.
2. Robot chassis structure diagram
In addition to enabling autonomous positioning, navigation, and path planning, the robot's chassis structure also features autonomous recharging technology. Apollo's autonomous recharging technology allows for external scheduling and pre-arranged charging. When the battery is low, it will autonomously return to the charging dock to recharge. Under load, it can achieve 15 hours of continuous uninterrupted operation, providing stable and reliable performance in the application environment.
It also features open software and hardware interfaces, supports multi-platform operation, and facilitates quick user switching. The fully open user interface includes Ethernet, control interface, power supply and other expansion interfaces, and supports interchangeability between Windows/Linux/Android/iOS development environments. 90% of the interface definitions are the same, which can facilitate quick user switching.
3. Robot Chassis Application Scenarios: Apollo's small to medium-sized robot chassis is designed to meet the needs of various application scenarios such as shopping malls, office buildings, hotels, and airport terminals. Based on a complete and reliable underlying application, upper-layer applications can be customized. This can save a significant amount of time, effort, and cost in technology and production research and development.
Today, the service robot market is expanding, and the demand for mobile robot chassis based on autonomous positioning and navigation is also increasing. They have been widely used in restaurants, hotels, shopping malls, security and other fields. The rapid development of service robots has also placed higher and higher demands on robot chassis technology. At the same time, it is necessary to reduce costs. Therefore, it is essential to design a high-performance, low-cost robot chassis.
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