Four characteristics tell you where the smart mobile robot "wisdom" is

With the rise of labor costs and low efficiency of manual handling, traditional manual handling methods are far from meeting the requirements of low-cost, high-efficiency and intelligent transportation workshop materials. At this time, the market is intelligently upgrading and upgrading production and manufacturing. The demand is also growing. In this context, the intelligent mobile robot unmanned transportation solution came into being. Intelligent mobile robots have become an important research direction and research hotspot in the field of robotics. The intelligent mobile robot using SLAM technology is a revolutionary mobile robot. What is the “intelligence” of intelligent autonomous mobile robots?

Intelligent mobile robot can independently plan the path

The intelligent autonomous mobile robot can dynamically and autonomously plan the path and automatically search for the shortest path to the target. SLAM technology enables the robot to perform real-time positioning effectively, and to model the environment while self-positioning. The accuracy of the environmental model depends on the positioning accuracy, and the implementation of the positioning is inseparable from the environmental model. In the unknown environment, the robot has nothing. References can only rely on their own sensors to obtain outside information. Sensors are constantly evolving, and the enthusiasm for research on sensors has not diminished. Early SLAMs used laser sensors, but nowadays more use of vision cameras, depth cameras, sonar (underwater) and sensor fusion, which effectively guarantees The sensor system provides data to the robot's real-time navigation and safety algorithms, which allows the robot to operate efficiently and safely in an unpredictable obstacle environment such as people, pallets or boxes, and to detect the surrounding environment, even if there are forklifts and goods in front. Board, personnel or other obstacles, it can use the Zuijia alternative route to achieve safe bypass for complete autonomous work.

Intelligent autonomous mobile robots are extremely flexible

Intelligent mobile robots have instant positioning and independent planning paths. They are far more flexible than traditional AGVs in terms of flexibility. They can not only interact with the use environment, but also meet the ever-changing environment and production requirements, enabling customers to be fast, economical, and Provide more options when efficiently automating material transportation needs. It's easier for companies to program robots and make deployment adjustments for different businesses, making it easy to redeploy robots to different processes or facility layouts, and smart mobile robots are extremely flexible.

Intelligent mobile robots can be widely used in various fields

In many environments, robots cannot use the global positioning system for positioning, and it is difficult or even impossible to obtain a map of the robot's working environment in advance. At this time, the robot needs to create a map in a completely unknown environment using the data in the camera, built-in sensors, laser scanners, and complex software under uncertain conditions. Such as: underwater, some places where the working environment cannot be obtained in advance. The robot can also be used with racks, shelves, conveyors, elevators and even collaborative robotic arms to meet specific application requirements.

Intelligent mobile robots can be positioned instantly.

The intelligent autonomous mobile robot adopts SLAM technology, and the system can start to provide positioning in real time in an unknown environment without pre-exploring the map. The full name of SLAM is Simultaneous Localization and Mapping. Chinese is called simultaneous positioning and mapping, and uses maps for autonomous positioning and navigation. Because of the SLAM technology, the intelligent autonomous mobile robot has a big difference between the positioning method and the traditional automatic guided vehicle system (AGV). The traditional automatic guided vehicle system (AGV) is based on the known mobile robot. The environment map is navigated, with map positioning and positioned map creation. When transporting materials, a fixed route is used to guide the AGV by installing a permanent wire, magnetic strip or sensor embedded in the factory floor. Because the route is fixed, its flexibility cannot meet the needs of an agile production process. The positioning of SLAM is that the robot moves from an unknown location in an unknown environment, and performs its own positioning based on position estimation and sensor data during the movement, while constructing an incremental map. The focus is on positioning. The robot must know where it is in the environment, and then build the map. After the robot knows its position, record the position of the feature in the environment, and then based on the relative position between the robot and the signature and the reading of the odometer. Estimating the global coordinates of the robot and signatures, this online positioning and map creation requires maintaining detailed information between the robot and the signature.