Franziska Meier
Scholar

Franziska Meier

Google Scholar ID: 7oxkHYYAAAAJ
Research Scientist, Facebook AI Research
Machine LearningRobotics
Citations & Impact
All-time
Citations
3,514
 
H-index
27
 
i10-index
45
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • June 2025: Collaborated with the VJEPA team at FAIR to train world models and released VJEPA2 and an action-conditioned world model based on VJEPA2.
  • May 2025: Paper 'Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D' accepted as a spotlight paper (top 2.6%) at ICML 2025.
  • April 2025: Released Locate3D, a new SOTA model for locating objects from natural language expressions.
  • April 2024: Released OpenEQA — the Open-Vocabulary Embodied Question Answering Benchmark.
  • May 2023: Presented BC-IRL at ICLR 2023.
  • March 2023: Open-sourced CortexBench and VC-1.
  • January 2023: Journal Paper 'Multi-Modal Learning of Keypoint Predictive Models for Visual Object Manipulation' published in Transactions on Robotics.
  • January 2021: Work on 'Meta-Learning via Learned Loss' received the best student paper award at ICPR 2020.
  • October 2020: Paper 'Model-Based Inverse Reinforcement Learning from Visual Demonstrations' accepted at CoRL.
  • October 2020: Open-sourced Differentiable Robot Models library.
Research Experience
  • Research Scientist at FAIR @MetaAI, leading the Cortex team focused on learning and evaluating foundation models for robotics.
Education
  • Ph.D. from the University of Southern California, advised by Stefan Schaal.
Background
  • Research interests: intersection of machine learning and robotics, with a special interest in lifelong learning; Professional field: Research Scientist; Brief introduction: Team lead of the Cortex team at FAIR @Meta AI, focusing on learning and evaluating foundation models for robotics.