Cornelius V. Braun
Scholar

Cornelius V. Braun

Google Scholar ID: Fh-XpPkAAAAJ
PhD Student in Machine Learning and Robotics, TU Berlin
Machine LearningRoboticsAutomated DiscoveryOptimization
Citations & Impact
All-time
Citations
32
 
H-index
2
 
i10-index
1
 
Publications
8
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • ‘Trajectory First: A Curriculum for Discovering Diverse Policies’, IBRL Workshop @ RLC 2025 — Best Paper Award.
  • ‘Meta-Optimization and Program Search using Language Models for Task and Motion Planning’, CoRL 2025 — shared first authorship.
  • ‘Stein Variational Evolution Strategies’, UAI 2025 — Oral Presentation.
  • ‘NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling’, arXiv preprint, 2024.
  • Co-authored ‘RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning’, submitted to IEEE/RSJ International Conference.
Background
  • PhD student in Machine Learning and Robotics at TU Berlin since 2023.
  • Advised by Marc Toussaint, head of the Learning & Intelligent Systems group at TU Berlin.
  • Primary research interests focus on developing intelligent systems capable of autonomous discovery and learning from prior experience.
  • Applications include creative problem solving and robotic manipulation.
  • Current research topics: Strategy Discovery and Diversity Optimization, Data Generation for Manipulation, and (Evolutionary) Optimization Methods.