The Department of Automatic Control at Lund University was created in 1965 and has today grown to hosting about 60 people.
We give courses within the regular engineering program to students from different areas of engineering. We also have a PhD program where the students specialize in various theories and applications of automatic control.
Our research is concentrated to seven areas:
Modeling and Control of Complex Systems, Control and Real-Time Computing, Process Control, Robotics, Automotive Systems, Biomedical Projects and Tools.
The department is hosting several large research projects funded by the European Commission and Swedish funding agencies. There is also active collaboration with industry.
Positions for PhD students and postdocs are announced here, usually around April 1 and October 1.
On Robotic Assembly using Contact Force Control and Estimation
Andreas Stolt, Lund University
Opponent: Luigi Villani, Università degli Studi di Napoli Federico II
Andreas Stolt: On Robotic Assembly using Contact Force Control and Estimation. October 2015.
Fredrik Bagge Carlson et al: Six DOF Eye-to-Hand Calibration from 2D Measurements Using Planar Constraints. September 2015.
Björn Olofsson: Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control. September 2015.
Alessandro Vittorio Papadopoulos et al: A control-theoretical approach to thread scheduling for multicore processors. September 2015.
David Desmeurs et al: Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times. September 2015.
Fredrik Bagge Carlson et al: Modeling and Identification of Position and Temperature Dependent Friction Phenomena without Temperature Sensing. September 2015.
Mahdi Ghazaei et al: An Analytic Solution to Fixed-Time Point-to-Point Trajectory Planning. September 2015.
Mahdi Ghazaei et al: Online Minimum-Jerk Trajectory Generation. September 2015.
Maj Stenmark et al: From High-Level Task Descriptions to Executable Robot Code. September 2015.
Mahdi Ghazaei et al: Real-Time Trajectory Generation using Model Predictive Control. August 2015.