What Is The Principle Of Obstacle Avoidance Robot?

Obstacle avoidance robot has become an important field of modern science and technology. It uses advanced sensing technology and intelligent algorithm to realize autonomous obstacle avoidance function in complex environment. So, what is the principle of obstacle avoidance robot? What sensors does it use?

First of all, the principle of obstacle avoidance robot is mainly based on sensing technology. The sensor is the "sensing organ" of the robot, which can perceive the information of the surrounding environment, and realize the obstacle avoidance decision of the robot through signal processing and algorithm analysis. Common sensors include infrared sensors, ultrasonic sensors, Lidar and so on.

Infrared sensor is a common and economical and practical sensor, which mainly determines the distance and direction between the robot and the obstacle by transmitting and receiving infrared signals. With the help of infrared sensors, the robot can find obstacles in time and make corresponding obstacle avoidance actions.

Ultrasonic sensors use the echo principle of sound waves to measure the distance between the robot and obstacles by transmitting and receiving ultrasonic signals. Ultrasonic sensor has the advantages of wide ranging range and fast response speed, so it is widely used in obstacle avoidance robots.

Lidar is a high-precision sensor, which can obtain three-dimensional point cloud data of the surrounding environment by measuring the reflection time and Angle of the laser beam. Lidar can not only achieve distance measurement, but also obtain the shape and contour information of the target object, so it plays an important role in the application scenarios that require high precision obstacle avoidance.

In addition to the above sensors, the obstacle avoidance robot can also be combined with other sensors, such as cameras and inertial sensors, to achieve more accurate obstacle avoidance functions. The camera can obtain image information in real time and detect the position and shape of obstacles through image processing algorithm. Inertial sensors can sense the motion state of the robot, so as to achieve better path planning and decision making.

In summary, the obstacle avoidance robot can realize autonomous obstacle avoidance function in complex environment by using advanced sensing technology and intelligent algorithm. Infrared sensors, ultrasonic sensors, Lidar and so on are commonly used sensors, they each have different characteristics and advantages. In the future, with the continuous development of science and technology, the sensing technology of obstacle avoidance robots will become more sensitive and intelligent, and further enhance the obstacle avoidance ability of robots.