Davide Rodella

Control Engineer and Simulation Testing Expert


Mr.Rodella graduated with full marks in Mechatronics Engineering at the  University of Trento in 2019 (master's degree). He has a Bachelor's degree in Industrial Engineering. Title of the master thesis: Siamese Deep Convolutional Mixture Density Neural Networks for Probabilistic 2D Transformation Matrix Estimation.

He has worked on robotics projects regarding the simultaneous localization and mapping of mobile agents (SLAM) and the control of manipulators. From the first day, he was involved in a project where he could perform various tasks. In particular, he developed a tool to transcode, analyze and test the logged vehicle data (from vehicle bus and different reference sensors),  on system and CVApp levels. He gained also experience in MEMS LiDARs and Point Cloud defects and artifacts.


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