Robot and method for controlling thereof

A method for controlling a robot comprising a sensor and a driver, the method comprising:

• acquiring first scan data including location information of an object around the robot based on a sensing value acquired by the sensor at a first time point;
• inputting the first scan data to a neural network model learned to predict scan data to acquire second scan data predicted to be acquired by the robot at a second time point after the first time point;
• identifying a possibility of collision with the object based on location information of the object included in the second scan data;
• acquiring driving data based on the identified possibility of collision;
• and
• controlling the driver based on the acquired driving data,
• wherein the method further comprises performing preprocessing on the first scan data, and
• wherein the performing preprocessing comprises:
• grouping vectors adjacent to each other among a plurality of vectors included in the first scan data in units of a predetermined number;
• obtaining an average value of distance values included in each of the grouped vectors;
• and
• replacing the distance values included in each of the grouped vectors with the obtained average value to perform preprocessing on the first scan data.