Kevin S. Luck

According to our database, Kevin S. Luck authored at least 21 papers between 2014 and 2025.

Collaborative distances:

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

2025

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects.

Yuying Zhang, Kevin Sebastian Luck, Francesco Verdoja, Ville Kyrki, Joni Pajarinen

CoRR, July, 2025

Virtual Laboratories: Domain-agnostic workflows for research.

Carlos Sevilla-Salcedo, Armi Tiihonen, Mahsa Asadi, Kevin Sebastian Luck, Aras Umut Erarslan, Arto Klami, Samuel Kaski

CoRR, July, 2025

Discrete Codebook World Models for Continuous Control.

Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Transparent Reward Models via Unsupervised Feature Selection.

Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping.

Gabriella Pizzuto, Hetong Wang, Hatem Fakhruldeen, Bei Peng, Kevin S. Luck, Andrew I. Cooper

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning.

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Co-imagination of Behaviour and Morphology of Agents.

Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning.

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Co-imitation: Learning Design and Behaviour by Imitation.

Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation.

Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

IEEE Robotics Autom. Lett., 2022

2021

What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks.

Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry

CoRR, 2021

2020

Residual Learning from Demonstration.

Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy

CoRR, 2020

2019

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient.

Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz

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

Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning.

Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion.

Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel Aukes, Heni Ben Amor

Proceedings of the Robotics: Science and Systems XIII, 2017

Bio-inspired Robot Design Considering Load-Bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles.

Michael Andrew Jansen, Kevin Sebastian Luck, Joseph Campbell, Heni Ben Amor, Daniel M. Aukes

Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017

Extracting bimanual synergies with reinforcement learning.

Kevin Sebastian Luck, Heni Ben Amor

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Sparse Latent Space Policy Search.

Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Latent space policy search for robotics.

Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014