Publications by Anastasiia Varava
Peer reviewed
Articles
[1]
Z. Weng et al., "Interactive Perception for Deformable Object Manipulation," IEEE Robotics and Automation Letters, vol. 9, no. 9, pp. 7763-7770, 2024.
[2]
M. Lippi et al., "Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap," IEEE Transactions on robotics, vol. 39, no. 1, pp. 57-75, 2023.
[3]
A. A. Medbouhi et al., "InvMap and Witness Simplicial Variational Auto-Encoders," MACHINE LEARNING AND KNOWLEDGE EXTRACTION, vol. 5, no. 1, pp. 199-236, 2023.
[4]
O. Gustavsson et al., "Cloth manipulation based on category classification and landmark detection," International Journal of Advanced Robotic Systems, vol. 19, no. 4, 2022.
[5]
A. Varava et al., "Free space of rigid objects : caging, path non-existence, and narrow passage detection," The international journal of robotics research, vol. 40, no. 10-11, pp. 1049-1067, 2021.
[6]
H. Song et al., "Herding by caging : a formation-based motion planning framework for guiding mobile agents," Autonomous Robots, vol. 45, no. 5, pp. 613-631, 2021.
[7]
H. Yin, A. Varava and D. Kragic, "Modeling, learning, perception, and control methods for deformable object manipulation," Science Robotics, vol. 6, no. 54, 2021.
[8]
M. C. Welle et al., "Partial caging : a clearance-based definition, datasets, and deep learning," Autonomous Robots, vol. 45, no. 5, pp. 647-664, 2021.
[9]
O. Kravchenko et al., "A Robotics-Inspired Screening Algorithm for Molecular Caging Prediction," Journal of Chemical Information and Modeling, vol. 60, no. 3, pp. 1302-1316, 2020.
[10]
I. Garcia-Camacho et al., "Benchmarking Bimanual Cloth Manipulation," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1111-1118, 2020.
[11]
A. Varava et al., "Free Space of Rigid Objects : Caging, Path Non-existence, and Narrow Passage Detection," Springer Proceedings in Advanced Robotics, vol. 14, pp. 19-35, 2020.
[12]
A. Varava, D. Kragic and F. T. Pokorny, "Caging Grasps of Rigid and Partially Deformable 3-D Objects With Double Fork and Neck Features," IEEE Transactions on robotics, vol. 32, no. 6, pp. 1479-1497, 2016.
Conference papers
[13]
N. Ingelhag et al., "A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models," in 2024 33RD IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, ROMAN 2024, 2024, pp. 748-754.
[14]
A. A. Medbouhi et al., "Hyperbolic Delaunay Geometric Alignment," in Machine learning and knowledge discovery in databases : Research track, pt iii, ECML PKDD 2024, 2024, pp. 111-126.
[15]
G. L. Marchetti et al., "An Efficient and Continuous Voronoi Density Estimator," in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, 2023, pp. 4732-4744.
[16]
G. L. Marchetti et al., "Equivariant Representation Learning via Class-Pose Decomposition," in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, 2023, pp. 4745-4756.
[17]
A. Reichlin et al., "Learning Geometric Representations of Objects via Interaction," in Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings, 2023, pp. 629-644.
[18]
A. Kravchenko et al., "Active Nearest Neighbor Regression Through Delaunay Refinement," in Proceedings of the 39th International Conference on Machine Learning, 2022, pp. 11650-11664.
[19]
C. Chamzas et al., "Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning," in 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, pp. 12550-12557.
[20]
P. Poklukar et al., "Delaunay Component Analysis for Evaluation of Data Representations," in Proceedings 10th International Conference on Learning Representations, ICLR 2022, 2022.
[21]
P. Tajvar et al., "Robust motion planning for non-holonomic robots with planar geometric constraints," in Robotics Research : The 19th International Symposium ISRR, 2022, pp. 850-866.
[22]
V. Polianskii et al., "Voronoi Density Estimator for High-Dimensional Data : Computation, Compactification and Convergence," in Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, 2022, pp. 1644-1653.
[23]
P. Poklukar, A. Varava and D. Kragic, "GeomCA : Geometric Evaluation of Data Representations," in International Conference On Machine Learning, Vol 139, 2021.
[24]
P. Poklukar, A. Varava and D. Kragic, "GeomCA: Geometric Evaluation of Data Representations," in Proceedings of Machine Learning Research : Proceedings of the 38th International Conference on Machine Learning, 2021, pp. 8588-8598.
[25]
Z. Weng et al., "Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects," in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 5741-5748.
[26]
G. L. Marchetti et al., "Learning Coarsened Dynamic Graph Representations for Deformable Object Manipulation," in 2021 20Th International Conference On Advanced Robotics (ICAR), 2021, pp. 955-960.
[27]
R. Antonova et al., "Sequential Topological Representations for Predictive Models of Deformable Objects," in Proceedings of the 3rd Conference on Learning for Dynamics and Control, L4DC 2021, 2021, pp. 348-360.
[28]
J. Karlsson et al., "When to Terminate : Path Non-existence Verification Improves Sampling-based Motion Planning," in 2021 20Th International Conference On Advanced Robotics (ICAR), 2021, pp. 594-600.
[29]
A. Varava et al., "Caging and Path Non-existence : A Deterministic Sampling-Based Verification Algorithm," in Robotics Research, 2020, pp. 589-604.
[30]
T. Ziegler et al., "Fashion Landmark Detection and Category Classification for Robotics," in Proceedings IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2020), 2020.
[31]
M. Lippi et al., "Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation," in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 5619-5626.
[32]
A. Varava et al., "Partial Caging : A Clearance-Based Definition and Deep Learning," in IEEE International Conference on Intelligent Robots and Systems, 2019, pp. 1533-1540.
[33]
A. Varava et al., "Free Space of Rigid Objects: Caging, Path Non-Existence, and Narrow Passage Detection," in Workshop on Algorithmic Foundations of Robotics, 2018.
[34]
A. Varava et al., "Caging and Path Non-Existence: a Deterministic Sampling-Based Verification Algorithm," in International Symposium on Robotics Research, 2017.
[35]
A. Varava et al., "Herding by Caging: a Topological Approach towards Guiding Moving Agents via Mobile Robots," in Robotics: Science and Systems, 2017.
Non-peer reviewed
Theses
[36]
A. Varava, "Path-Connectivity of the Free Space : Caging and Path Existence," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:30, 2019.
Other
[37]
C. Chamzas et al., "Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning," (Manuscript).
[38]
M. Lippi et al., "Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap," (Manuscript).
[39]
P. Poklukar et al., "GraphDCA - a Framework for Node Distribution Comparison in Real and Synthetic Graphs," (Manuscript).
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2025-03-26 00:04:20