Abstract: The embodiments of the disclosure provide a space recognition method, an electronic device and a non-transitory computer-readable storage medium. The method includes the following steps. Sensor data for detecting obstacle positions is obtained from a sensor associated with an electronic device. A plurality of coordinates respectively corresponding to the obstacle positions are generated based on the sensor data. Boundary line information of a space surrounding the electronic device is updated according to the coordinates until an optimization condition is met for each boundary line. A spatial range of the space surrounding the electronic device is identified based on the boundary line information. The spatial range is used to guide a movement of the electronic device.

Abstract: Disclosed are a method for simultaneous localization and mapping and a mobile platform using the same. The method for simultaneous localization and mapping is applied to the mobile platform, and includes: continuously collecting and storing odometer data and environment sensing data of the mobile platform when the mobile platform moves based on a motion trajectory; combining a certain amount of the odometer data and the environmental sensing data to obtain environmental information whenever the certain amount of odometer data and environmental sensing data is reached and stored; performing a simultaneous localization and mapping procedure according to a current map and the odometer data and environmental information continuously obtained; repeating the above steps until the mobile platform completes the motion according to the motion trajectory. Therefore, the mobile platform can synthesize the environmental information similar to sensing data of the lidar while moving without installing a high-cost lidar.

Abstract: The embodiments of the disclosure provide a space recognition method, an electronic device and a non-transitory computer-readable storage medium. The method includes the following steps. Sensor data for detecting obstacle positions is obtained from a sensor associated with an electronic device. A plurality of coordinates respectively corresponding to the obstacle positions are generated based on the sensor data. Boundary line information of a space surrounding the electronic device is updated according to the coordinates until an optimization condition is met for each boundary line. A spatial range of the space surrounding the electronic device is identified based on the boundary line information. The spatial range is used to guide a movement of the electronic device.

Abstract: An automatic cleaning device including a first light sensor and a controller is provided. The first light sensor is disposed at a side position of a device body. The controller is coupled to the first light sensor. When the controller performs an automatic charging operation, the controller controls the device body of the automatic cleaning device to move forward and determines whether the first light sensor senses a light signal emitted by a light emitter of the charging dock. When the first light sensor senses the light signal, the controller records a first time parameter, and when the first light sensor no longer senses the light signal, the controller records a second time parameter. The controller determines whether to execute a first return mode or a second return mode according to a first time difference between the first time parameter and the second time parameter. In addition, an automatic charging method is also provided.

Abstract: A movable device is provided. When the movable device is at a specific position, a range finder detects reflected light in a first field of view to generate first previous data. When the movable device returns to the vicinity of the specific position, the range finder detects reflected light in the first field of view to generate second previous data. The range finder detects reflected light in a second field of view to generate compensation data. The processor unit performs a SLAM operation on the first and second previous data to generate first and second previous maps, respectively. When a probability that the second previous map does not conform to the first previous map is greater than a threshold value, the processor unit performs the SLAM operation on specific data and the compensation data to control the moving path of the movable device.

Abstract: A movable device is provided. When the movable device is at a specific position, a range finder detects reflected light in a first field of view to generate first previous data. When the movable device returns to the vicinity of the specific position, the range finder detects reflected light in the first field of view to generate second previous data. The range finder detects reflected light in a second field of view to generate compensation data. The processor unit performs a SLAM operation on the first and second previous data to generate first and second previous maps, respectively. When a probability that the second previous map does not conform to the first previous map is greater than a threshold value, the processor unit performs the SLAM operation on specific data and the compensation data to control the moving path of the movable device.