Welcome! My name is Lucian Busoniu and I am an associate professor with the Automation Department of the Technical University of Cluj-Napoca, Romania, where I lead the Robotics and Nonlinear Control group. I obtained my PhD degree (cum laude) in 2009 from the Delft University of Technology, the Netherlands, and my postgraduate and MSc degrees in Control Engineering, respectively in 2004 and 2003, from TUCluj. In October 2015, I defended my habilitation thesis, conferring the right to independently supervise PhD students. My research interests include learning and planning methods for the optimal control of nonlinear systems, in particular online planning, reinforcement learning, and approximate dynamic programming, as well as multi-agent systems and other topics.
The other pages of this website contain information about the research and thesis projects I am involved in, a selection of my publications, teaching and course information, as well as a repository containing downloadable material related to my work.
February 2017: ACAI course
I will be giving an invited course at the ACAI (Avanced Course on AI) summer school on reinforcement learning, in October 2017. More info coming soon!
February 2017: Visiting researchers spring-summer 2017
We have a busy visit season this spring: PhD students Jihene Ben Rejeb and Mathieu Granzotto from CRAN Nancy, as well as Guoxi Feng from Valenciennes, are spending several months in our lab. Later on in the summer, Robert Frohlich from Szeged will be here. Funding from AUF NETASSIST and Erasmus+.
December 2016: Automatica and TAC papers accepted
Our article Planning for optimal control and performance certification in nonlinear systems with controlled or uncontrolled switches has been accepted as a regular paper for Automatica, and Stability Analysis of Discrete-Time Infinite-Horizon Optimal Control with Discounted Cost (with Romain Postoyan at the helm) for the IEEE Transactions on Automatic Control.
November 2016: Open track at IFAC World Congress
We are proposing an open invited track on Reinforcement Learning for Control at the IFAC World Congress in Toulouse. Contributions are welcome!
October 2016: NETASSIST kickoff
Our cooperation project NETASSIST: AI methods for the networked control of assistive drones, has been approved for funding by AUF and IFA. We are kicking off the project with a very busy month of October, including multiple student and researcher exchanges with our partners at the Visual Computation group of the University of Szeged, Hungary and CRAN in Nancy, France.