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Michael C. Welle
Michael C. Welle
Postdoctoral researcher, KTH Royal Institute of Technology
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Benchmarking Bimanual Cloth Manipulation
I Garcia-Camacho, M Lippi, MC Welle, H Yin, R Antonova, A Varava, ...
IEEE Robotics and Automation Letters 5 (2), 1111-1118, 2020
412020
Latent space roadmap for visual action planning of deformable and rigid object manipulation
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
382020
From visual understanding to complex object manipulation
J Bütepage, S Cruciani, M Kokic, M Welle, D Kragic
Annual Review of Control, Robotics, and Autonomous Systems 2, 161-179, 2019
152019
Fashion Landmark Detection and Category Classification for Robotics
T Ziegler, J Butepage, MC Welle, A Varava, T Novkovic, D Kragic
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
122020
Textile Taxonomy and Classification Using Pulling and Twisting
A Longhini, MC Welle, I Mitsioni, D Kragic
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
Enabling visual action planning for object manipulation through latent space roadmap
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic
IEEE Transactions on Robotics, 2022
42022
Partial Caging: A Clearance-Based Definition and Deep Learning
A Varava, MC Welle, J Mahler, K Goldberg, D Kragic, FT Pokomy
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
32019
Comparing Reconstruction-and Contrastive-based Models for Visual Task Planning
C Chamzas, M Lippi, MC Welle, A Varava, LE Kavraki, D Kragic
arXiv preprint arXiv:2109.06737, 2021
22021
Batch Curation for Unsupervised Contrastive Representation Learning
MC Welle, P Poklukar, D Kragic
arXiv preprint arXiv:2108.08643, 2021
22021
State representations in robotics: Identifying relevant factors of variation using weak supervision
C Chamzas, M Lippi, MC Welle, A Varava, A Marino, LE Kavraki, D Kragic
Robot Learn. Wksp. at NeurIPS, 2020
22020
Learning Task Constraints in Visual-Action Planning from Demonstrations
F Esposito, C Pek, MC Welle, D Kragic
2021 30th IEEE International Conference on Robot & Human Interactive …, 2021
12021
Partial caging: a clearance-based definition, datasets, and deep learning
MC Welle, A Varava, J Mahler, K Goldberg, D Kragic, FT Pokorny
Autonomous Robots 45 (5), 647-664, 2021
12021
On the use of unmanned aerial vehicles for autonomous object modeling
MC Welle, L Ericson, R Ambrus, P Jensfelt
2017 European Conference on Mobile Robots (ECMR), 1-6, 2017
12017
Cloth manipulation based on category classification and landmark detection
O Gustavsson, T Ziegler, MC Welle, J Bütepage, A Varava, D Kragic
International Journal of Advanced Robotic Systems 19 (4), 17298806221110445, 2022
2022
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity
M Lippi, MC Welle, P Poklukar, A Marino, D Kragic
arXiv preprint arXiv:2203.13034, 2022
2022
Learning Structured Representations for Rigid and Deformable Object Manipulation
MC Welle
KTH Royal Institute of Technology, 2021
2021
View Planning for Objects Modeling using UAVs
MC Welle
2017
Representing clothing items for robotics tasks
M Moletta, MC Welle, A Kravchenko, A Varava, D Kragic
Embedding Koopman Optimal Control in Robot Policy Learning
H Yin, MC Welle, D Kragic
Perceiving and Handling Textiles: a Robotics Perspective
A Longhini, M Moletta, MC Welle, I Mitsioni, D Kragic
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