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Publications by Michael Welle

Peer reviewed

Articles

[1]
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]
O. Gustavsson et al., "Cloth manipulation based on category classification and landmark detection," International Journal of Advanced Robotic Systems, vol. 19, no. 4, 2022.
[4]
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.
[5]
I. Garcia-Camacho et al., "Benchmarking Bimanual Cloth Manipulation," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1111-1118, 2020.
[6]
J. Butepage et al., "From Visual Understanding to Complex Object Manipulation," Annual Review of Control, Robotics, and Autonomous Systems, vol. 2, pp. 161-179, 2019.

Conference papers

[7]
M. Moletta et al., "A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding," in 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[8]
A. Longhini et al., "EDO-Net : Learning Elastic Properties of Deformable Objects from Graph Dynamics," in Proceedings - ICRA 2023 : IEEE International Conference on Robotics and Automation, 2023, pp. 3875-3881.
[9]
A. Longhini et al., "Elastic Context : Encoding Elasticity for Data-driven Models of Textiles," in Proceedings - ICRA 2023 : IEEE International Conference on Robotics and Automation, 2023, pp. 1764-1770.
[10]
M. Lippi et al., "Augment-Connect-Explore : a Paradigm for Visual Action Planning with Data Scarcity," in 2022 IEEE/RSJ international conference on intelligent robots and systems (IROS), 2022, pp. 754-761.
[11]
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.
[12]
H. Yin, M. C. Welle and D. Kragic, "Embedding Koopman Optimal Control in Robot Policy Learning," in 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, pp. 13392-13399.
[13]
F. Esposito et al., "Learning Task Constraints in Visual-Action Planning from Demonstrations," in 30th IEEE International Conference on Robot & Human Interactive Communication, RO-MAN 2021, 2021, pp. 131-138.
[14]
A. Longhini et al., "Textile Taxonomy and Classification Using Pulling and Twisting," in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Prague/Online 27.09-01.10.2021, 2021, pp. 7541-7548.
[15]
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.
[16]
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.
[17]
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.
[18]
M. Welle et al., "On the use of Unmanned Aerial Vehicles for Autonomous Object Modeling," in 2017 European Conference on Mobile Robots, ECMR 2017, 2017.

Non-peer reviewed

Theses

[19]
M. C. Welle, "Learning Structured Representations for Rigid and Deformable Object Manipulation," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:72, 2021.
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2024-06-16 02:05:51