Papers
2
Total Citations
11
H-Index
2
About
Catrin Weyers is a robotics researcher specializing in autonomous field robotics, with a focus on scalable automation and simultaneous localization and mapping (SLAM) for agricultural and industrial applications. Her most-cited work, "Modular and scalable automation for field robots" (2021, 7 citations), introduces an innovative underbody charging system and modular navigation concept for electrified agricultural machines, addressing key challenges in field robot autonomy and energy management. This contribution is particularly notable for its practical approach to enabling continuous, unattended operation of robots in outdoor environments. Earlier, Weyers contributed to foundational SLAM research with "Improving occupancy grid FastSLAM by integrating navigation sensors" (2011, 4 citations), which enhanced the accuracy of autonomous vehicle localization in unknown environments by fusing multiple sensor inputs. Her work bridges the gap between theoretical SLAM algorithms and real-world deployment constraints, making her research valuable for students and engineers developing robust field robots. Weyers’ contributions are especially relevant as agriculture increasingly adopts autonomous systems, and her modular design principles offer a pathway toward cost-effective, scalable robotic solutions for precision farming.
Research Focus
Key Achievements
Top Papers
- 1Modular and scalable automation for field robots7 citations · 2021
- 2Improving occupancy grid FastSLAM by integrating navigation sensors4 citations · 2011