Brancalião, Laiany SuganumaConde, Miguel ÁngelCosta, Paulo Gomes daGonçalves, José2022-09-272022-09-272022Brancalião, Laiany; Conde, Miguel Á.; Costa, Paulo; Gonçalves, José (2022). Stochastic modeling of a time of flight sensor to be applied in a mobile robotics application. In 15th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2022. Caparica, Lisboa. 930, p. 621-632. ISBN 978-3-031-10047-5http://hdl.handle.net/10198/25949In this paper it is presented the stochastic modeling of a time of flight sensor, to be applied in a mobile robotics application. The sensor was configured to provide data at a frequency of 30 Hz, obtaining a tradeoff between reactiveness and accuracy. The sensor data was acquired using a microcontroller development board, being the sensor moved with a manipulator, in order to assure repeatability and accuracy in the data acquisition process. The sensor was modeled having in mind the targets color, ranging from black to white for the working range, its variance, standard deviation, offset, means and errors measures were estimated.engStochastic modelingtTime of flight sensorMobile roboticsManipulator robotconference paper10.1007/978-3-031-10047-5_55