Anastasiia Varava
Papers
12
Total Citations
215
H-Index
8
About
Anastasiia Varava’s research lies at the intersection of robotic manipulation, motion planning, and topological reasoning, with a particular focus on deformable objects and multi-agent systems. Her most influential work introduces a topological approach to “herding by caging,” where mobile robots guide moving agents by ensuring they cannot escape—a framework that has garnered over 40 citations and inspired further formation-based planning. Varava has made foundational contributions to cloth manipulation, including a widely cited benchmark (76 citations) for bimanual cloth tasks and a deep-learning pipeline for category classification and landmark detection. She has also advanced the manipulation of deformable objects through interactive perception, graph-based prediction models, and latent space roadmaps for visual action planning. Notably, her robotics-inspired screening algorithm for molecular caging prediction bridges robotic caging theory with computational chemistry, demonstrating interdisciplinary impact. With a publication record spanning top venues and over 200 total citations, Varava’s work is shaping how robots handle the complexity of non-rigid environments, from household cloth folding to molecular docking. Her research continues to push the boundaries of autonomous manipulation in unstructured, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Benchmarking Bimanual Cloth Manipulation76 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7A Robotics-Inspired Screening Algorithm for Molecular Caging Prediction8 citations · 2020
- 8
- 9
- 10Interactive Perception for Deformable Object Manipulation5 citations · 2024