Michael C. Welle

According to our database, Michael C. Welle authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Visual Action Planning with Multiple Heterogeneous Agents.

Martina Lippi, Michael C. Welle, Marco Moletta, Alessandro Marino, Andrea Gasparri, Danica Kragic

CoRR, 2024

Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile Sensors for Rigid and Soft Object Manipulation.

Martina Lippi, Michael C. Welle, Maciej K. Wozniak, Andrea Gasparri, Danica Kragic

CoRR, 2024

A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models.

Nils Ingelhag, Jesper Munkeby, Jonne van Haastregt, Anastasia Varava, Michael C. Welle, Danica Kragic

CoRR, 2024

AdaFold: Adapting Folding Trajectories of Cloths via Feedback-loop Manipulation.

Alberta Longhini, Michael C. Welle, Zackory Erickson, Danica Kragic

CoRR, 2024

Standardization of Cloth Objects and its Relevance in Robotic Manipulation.

Irene Garcia-Camacho, Alberta Longhini, Michael C. Welle, Guillem Alenyà, Danica Kragic, Júlia Borràs Sol

CoRR, 2024

2023

Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasia Varava, Hang Yin, Alessandro Marino, Danica Kragic

IEEE Trans. Robotics, February, 2023

Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges.

Noémie Jaquier, Michael C. Welle, Andrej Gams, Kunpeng Yao, Bernardo Fichera, Aude Billard, Ales Ude, Tamim Asfour, Danica Kragic

CoRR, 2023

Ensemble Latent Space Roadmap for Improved Robustness in Visual Action Planning.

Martina Lippi, Michael C. Welle, Andrea Gasparri, Danica Kragic

CoRR, 2023

Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles.

Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics.

Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding.

Marco Moletta, Maciej K. Wozniak, Michael C. Welle, Danica Kragic

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors.

Michael C. Welle, Martina Lippi, Haofei Lu, Jens Lundell, Andrea Gasparri, Danica Kragic

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Elastic Context: Encoding Elasticity for Data-driven Models of Textiles.

Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic

CoRR, 2022

Embedding Koopman Optimal Control in Robot Policy Learning.

Hang Yin, Michael C. Welle, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity.

Martina Lippi, Michael C. Welle, Petra Poklukar, Alessandro Marino, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning.

Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Learning Structured Representations for Rigid and Deformable Object Manipulation.

Michael C. Welle

PhD thesis, 2021

Batch Curation for Unsupervised Contrastive Representation Learning.

Michael C. Welle, Petra Poklukar, Danica Kragic

CoRR, 2021

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic

CoRR, 2021

Partial caging: a clearance-based definition, datasets, and deep learning.

Michael C. Welle, Anastasiia Varava, Jeffrey Mahler, Ken Goldberg, Danica Kragic, Florian T. Pokorny

Auton. Robots, 2021

Learning Task Constraints in Visual-Action Planning from Demonstrations.

Francesco Esposito, Christian Pek, Michael C. Welle, Danica Kragic

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Textile Taxonomy and Classification Using Pulling and Twisting.

Alberta Longhini, Michael C. Welle, Ioanna Mitsioni, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Benchmarking Bimanual Cloth Manipulation.

Irene Garcia-Camacho, Guillem Alenyà, Danica Kragic, Martina Lippi, Michael C. Welle, Hang Yin, Rika Antonova, Anastasiia Varava, Júlia Borràs Sol, Carme Torras, Alessandro Marino

IEEE Robotics Autom. Lett., 2020

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation.

Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fashion Landmark Detection and Category Classification for Robotics.

Thomas Ziegler, Judith Bütepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019

From Visual Understanding to Complex Object Manipulation.

Judith Bütepage, Silvia Cruciani, Mia Kokic, Michael C. Welle, Danica Kragic

Annu. Rev. Control. Robotics Auton. Syst., 2019

Partial Caging: A Clearance-Based Definition and Deep Learning.

Anastasiia Varava, Michael C. Welle, Jeffrey Mahler, Ken Goldberg, Danica Kragic, Florian T. Pokomy

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2017

On the use of unmanned aerial vehicles for autonomous object modeling.

Michael C. Welle, Ludvig Ericson, Rares Ambrus, Patric Jensfelt

Proceedings of the 2017 European Conference on Mobile Robots, 2017