Designing and realizing smart autonomous systems for the industry and society
Autonomous vehicles, fully automated industrial value chains, high-tech systems, collaborative robots in unstructured environments, intelligent medical devices, automated transportation networks, soft robotics, together with sustainable automotive technology are key examples of the broad application domain of the Dynamics and Control section.
The design of these systems requires a thorough understanding of their underlying dynamics. Therefore, the first focal point of our research is on both data-based and first-principles-based modelling, model complexity management, and dynamic analysis of complex, multi-physics and multi-disciplinary engineering systems.
(Vibro-) acoustics and noise control
Our research addresses reduction of disturbances due to sound waves
Robotics and Perception
Robotics and Perception group focuses on enabling advanced robotic applications, autonomous robots, human-robot collaboration, and...
Vehicle dynamics and control
The research focus is on modelling and analyzing the dynamic behavior of road vehicles and improving their performance using control
Autonomous and Complex Systems
The Autonomous and Complex Systems group develops the science and technology fundamental for the next generation of autonomous systems
Meet our full-time faculty members
Nathan van de Wouw
Ines Lopez Arteaga
Tom van der Sande
Carlos Murguia Rendon
Idoia Cortes Garcia
Meet our part-time faculty members
Arturo Tejada Ruiz
Hamed Sadeghian Marnani
Meet our management assistant & program officer
Our most recent peer reviewed publications
A suppress-excite approach for online trajectory generation of uncertain motion systemsMechanical Systems and Signal Processing (2023)
Estimating Space-Dependent Coefficients for 1D Transport Using Gaussian Processes as State Estimator in the Frequency DomainIEEE Control Systems Letters (2023)
Efficient Geometric Linearization of Moving-Base Rigid Robot DynamicsJournal of Geometric Mechanics (2022)
Rule-based control of a semi-active suspension system for road holding using limited sensor information: design and experimentsVehicle System Dynamics (2022)
An Alternative Approach to Compute Chip Thickness in MillingJournal of Manufacturing Science and Engineering : Transactions of the ASME (2022)
The Dynamics and Control section is operating the following laboratories in the Mechanical Engineering Department, in collaboration with the section Control Systems Technology.
The Automotive Technology (AT) lab
The renovated AT lab facility was opened in September 2003. Since then, with the help of TU/e, Paccar and other parties, we have been able...
The Motion (DCT) laboratory
The Robotics Laboratory
Constructions and Mechanisms (C&M) Laboratory
Systems Engineering laboratory