Robbert Louwers
Papers
1
Total Citations
8
H-Index
1
About
Robbert Louwers is a researcher in autonomous systems and robotics, with a primary focus on motion planning and control for ground vehicles. His key contributions lie in bridging the gap between path planning and path following—two critical components of autonomous navigation. In his most cited work, "Piecewise Linear Path Following for a Unicycle Using Transverse Feedback Linearization" (2021, 8 citations), Louwers developed a novel approach to enable smooth, stable tracking of piecewise linear paths, a common output from waypoint-based planners. This work addresses the challenge of ensuring continuity and robustness when a vehicle transitions between straight-line segments, a fundamental problem in autonomous driving. Beyond this, his research spans control theory, nonlinear dynamics, and real-time implementation, with applications in mobile robotics and intelligent transportation. Though early in his career, Louwers’ contributions have been recognized for their practical relevance, offering a mathematically rigorous yet implementable solution to a core autonomy challenge. His work continues to influence the design of decision-making hierarchies in autonomous vehicles, making him a promising voice in the field of motion control and path following.
Research Focus
Key Achievements
Top Papers
- 1