Cansu Sancaktar
Scholar

Cansu Sancaktar

Google Scholar ID: 9JqNY7UAAAAJ
PhD Student at Max Planck Institute for Intelligent Systems
Robot LearningMachine LearningReinforcement LearningIntrinsic Motivation
Citations & Impact
All-time
Citations
160
 
H-index
5
 
i10-index
3
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • First-authored paper 'SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models' accepted to ICML 2025.
  • Paper 'Regularity as Intrinsic Reward for Free Play' accepted to NeurIPS 2023.
  • Co-organized IMOL Workshop accepted to NeurIPS 2023 and NeurIPS 2024.
  • Paper 'Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation' accepted to NeurIPS 2022; received Best Poster Award at IEEE RAS TC on Model-Based Optimization for Robotics (2022).
  • Contributed to Real Robot Challenge 2022, published in NeurIPS 2022 Competition Track.
  • Multiple publications in top-tier venues including ICML, NeurIPS, CoRL Workshop, and RLC.
  • Invited talks at University of Tübingen, Max Planck Institute, and IMPRS-IS Symposium in 2023.
Co-authors
0 total
Co-authors: 0 (list not available)