Luca Bascetta was born in Milan (Italy) in 1974. He received the "Laurea" degree cum laude in Computer Science Engineering in 1999 and the Doctorate degree in Information Technology in 2004, both from Politecnico di Milano, Italy.
From 2004 to 2006 he has been a Research Assistant at the Dipartimento di Elettronica e Informazione of Politecnico di Milano, teaching Control System Technologies and Engineering to Computer Science Engineering students.
From December 2006 to December 2014 he has been an Assistant Professor in Automatic Control at the School of Industrial and Information Engineering of Politecnico di Milano, teaching Automatic Control to Aerospace Engineering students at Politecnico di Milano.
Since January 2015 he has been an Associate Professor in Automatic Control at the School of Industrial and Information Engineering of Politecnico di Milano. Dr. Bascetta currently teaches Automatic Control to Aerospace and Mechanical Engineering students at Politecnico di Milano.
He took part in the writing of two founded European research projects in the field of robotics (ICT-230902-ROSETTA, Robot control for Skilled ExecuTion of Tasks in natural interaction with humans; based on Autonomy, cumulative knowledge and learning; ICT-231143-ECHORD, European Clearing House for Open Robotics Development), and to the research activities of some national research projects. He was the person in charge for Politecnico di Milano in the FP7 four years long European Integrating Project ECHORD as coordinator of the experiment FIDELIO FIxtureless DEburring of wheeLs by human demonstratIOn.
His research interests include robotics, visual servoing and all the problems related to motion control. The research activity in the field of robotics includes modelling and control of flexible manipulators and visual servoing. Dr. Bascetta developed a visual servoing control technique, following an approach based on two-time scale control, to achieve the tip trajectory tracking of a flexible manipulator exploiting the information generated by a camera mounted on the end-effector. The methodology was further extended in order to use the visual information, together with strain gauge measurements, to damp out the link vibrations as well. This research (that was also the topic of the PhD study of Dr. Bascetta) was funded by the Italian Space Agency (ASI). He also worked in the mechatronics and motion control field, in particular on the control of brushless/asynchronous motors using low resolution position sensors. This topic is of particular interest in many industrial applications, ranging from automotive and household appliances to industrial robots and machine tools. The research of Dr. Bascetta was particularly focused on the definition of an analytical but simple characterisation of the velocity estimation error, in order to assess the performance of non-model-based velocity estimation techniques. Moreover, he studied the performance limitations in Field Oriented Control for asynchronous machines due to the use of low resolution position sensors. A further work, related to this research field, has been the development of a mechatronic model of the velocity control system of a washing machine, and the study of simple (auto)tuning procedures to support a rational and efficient approach to the tuning of the velocity regulator. Dr. Bascetta worked also on model-based PID autotuning techniques for 1-d.o.f. and 2-d.o.f. control architectures. In particular, he developed a technique, based on causal nonparametric modelling, for the design of the feedforward compensator in 2-d.o.f. controllers.
Since 2004 he is a reviewer of many international conferences and journals in the field of robotics, mechatronics and automatic control. Furthermore, he received the Best Referee Award for the Journal of Process Control for the year 2008.
Dr. Bascetta is a member of IEEE Robotics and Automation Society since 2007.