Thomas Beckers
Scholar

Thomas Beckers

Google Scholar ID: WBA4xBcAAAAJ
Vanderbilt University
ControlScientific MLRobotics
Citations & Impact
All-time
Citations
811
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published the paper 'A Safety-Driven Interpretable Model for Vehicle Control with Impact on Traffic' in Transactions on Intelligent Transportation Systems; serving as Guest Associated Editor for the OJ-CSYS special section on Intersection of Machine Learning with Control; involved in organizing several workshops and conferences on physics-informed learning, with multiple related papers accepted for publication.
Research Experience
  • Leading a lab focused on the safe learning-based modeling and control of modern applications such as autonomous driving, soft robotics, or human-robot interaction; developing novel data-driven control methods that ensure both safe operation and high performance for the closed-loop system; exploring algorithms that incorporate physical prior knowledge into learning-based models to enhance their generalizability, reliability, and interpretability.
Background
  • Research interests: Safe learning-based modeling and control, data-driven control systems, incorporating physical prior knowledge into learning models. Professional field: Autonomous driving, soft robotics, human-robot interaction.
Miscellany
  • Welcomed new team members Mohammad Ali and Kendra Givens; maintaining strong ties with the European control community.