Sensor module for robot vacuum cleaners designed to prevent collisions and jams during cleaning, improving cleaning efficiency and ease of use. Key benefits - Obstacle avoidance to prevent collisions and damage, helping the robot vacuum cleaner clean smoothly and consistently. - Real time sensing with a distance sensor to detect surrounding obstacles, reducing the risk of jams and furniture damage. - Accurate positioning and navigation by using distance information from walls, furniture and other objects in the room. - Real time TOF based collision avoidance to sense obstacles such as furniture and walls, helping prevent getting stuck or causing damage. What it does - Obstacle avoidance: The distance sensor detects nearby obstacles so the vacuum can steer away and continue cleaning without interruption. - Positioning and navigation: The distance information gathered from the sensor supports accurate room positioning and path planning. - Real time collision avoidance: The TOF unit provides real time obstacle sensing, enabling quick responses to nearby furniture, walls, or other objects. Use scenarios - Cleaning a living room with chairs and a coffee table: the module helps the vacuum avoid collisions with furniture, reducing interruptions and protecting furniture. - Navigating narrow hallways and around kitchen islands: the sensor supports careful movements, allowing thorough cleaning without scraping walls or edges. - Cleaning under and around low furniture such as sofas or beds: real time sensing helps the vacuum maneuver without getting stuck or causing damage. Performance highlights - Function: obstacle avoidance, positioning and navigation, real time collision sensing via TOF distance technology. - Safety: reduces collision risk with furniture and walls. - Usability: supports smoother operation and more reliable cleaning performance.