معرفی
Jan Swevers is a Full Professor at KU Leuven, affiliated with the MECO Research Team. His work focuses on predictive control, sensor-based robotics, and optimal motion planning, with applications in autonomous systems, industrial robotics, and aerospace engineering.
- Research Interests: Predictive control (Model Predictive Control, Iterative Learning Control), sensor-based robotics (surface following, cable shaping), optimal motion planning (Reeds-Shepp algorithms, time-optimal interception), and constraint handling in robotics.
- Publications: Recent work explores deformable object dynamics, autonomous surface vessel navigation, and computational efficiency in optimal control. Key trends include integrating predictive control with real-time estimation, simplifying complex environments via constraint reduction, and advancing human-like autonomous driving through imitation learning.
- Advising: Supervised PhD theses on topics like constraint-based robot programming, motion planning, and predictive control for sensor-based tasks.
- Labs: Leads the MECO Research Team at KU Leuven, focusing on control systems, robotics, and optimal planning.
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