publications

2024

  1. Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
    Gabriella Pizzuto ,  Hetong Wang ,  Hatem Fakhruldeen ,  Bei Peng ,  Kevin Sebastian Luck ,  and  Andrew I Cooper
    IEEE CASE 2024, 2024
  2. Co-imagination of Behaviour and Morphology of Agents
    Maria Sliacka ,  Michael Mistry ,  Roberto Calandra ,  Ville Kyrki ,  and  Kevin Sebastian Luck
    In Machine Learning, Optimization, and Data Science , 2024
  3. Pretto_ICRA40_2024.png
    Investigation into Bio-inspired Snake Robot Designs with Co-Adaptation of Morphology and Behaviour
    Riccardo Pretto ,  Sylvia Cressmann ,  Shivam Chaubey ,  Michael Andrew Jansen ,  Ville Kyrki ,  and  Kevin Sebastian Luck
    In 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40) , 2024

2023

  1. Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
    Mhairi Dunion ,  Trevor McInroe ,  Kevin Sebastian Luck ,  Josiah P. Hanna ,  and  Stefano V Albrecht
    In Thirty-seventh Conference on Neural Information Processing Systems , 2023
  2. Practical Equivariances via Relational Conditional Neural Processes
    Daolang Huang ,  Manuel Haussmann ,  Ulpu Remes ,  S. T. John ,  Grégoire Clarté ,  Kevin Sebastian Luck ,  Samuel Kaski ,  and  Luigi Acerbi
    In Thirty-seventh Conference on Neural Information Processing Systems , 2023
  3. Co-imitation: learning design and behaviour by imitation
    Chang Rajani ,  Karol Arndt ,  David Blanco-Mulero ,  Kevin Sebastian Luck ,  and  Ville Kyrki
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2023

2022

  1. Which language evolves between heterogeneous agents?-communicating movement instructions with widely different time scopes
    Marie Ossenkopf ,  Kevin Sebastian Luck ,  and  Kory Wallace Mathewson
    In Emergent Communication Workshop at ICLR 2022 , 2022
  2. Residual learning from demonstration: Adapting dmps for contact-rich manipulation
    Todor Davchev ,  Kevin Sebastian Luck ,  Michael Burke ,  Franziska Meier ,  Stefan Schaal ,  and  Subramanian Ramamoorthy
    IEEE Robotics and Automation Letters, 2022
  3. Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
    Mhairi Dunion ,  Trevor McInroe ,  Kevin Sebastian Luck ,  Josiah P Hanna ,  and  Stefano V Albrecht
    In The Eleventh International Conference on Learning Representations , 2022

2021

  1. Luck_Arxiv_2021.png
    What robot do i need? Fast co-adaptation of morphology and control using graph neural networks
    Kevin Sebastian Luck ,  Roberto Calandra ,  and  Michael Mistry
    arXiv preprint arXiv:2111.02371, 2021

2020

  1. Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
    Kevin Sebastian Luck ,  Heni Ben Amor ,  and  Roberto Calandra
    In Proceedings of the Conference on Robot Learning , 30 oct–01 nov 2020

2019

  1. Improved exploration through latent trajectory optimization in deep deterministic policy gradient
    Kevin Sebastian Luck ,  Mel Vecerik ,  Simon Stepputtis ,  Heni Ben Amor ,  and  Jonathan Scholz
    In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 30 oct–01 nov 2019

2017

  1. Bio-inspired robot design considering load-bearing and kinematic ontogeny of chelonioidea sea turtles
    Andrew Jansen ,  Kevin Sebastian Luck ,  Joseph Campbell ,  Heni Ben Amor ,  and  Daniel M Aukes
    In Biomimetic and Biohybrid Systems: 6th International Conference, Living Machines 2017, Stanford, CA, USA, July 26–28, 2017, Proceedings 6 , 30 oct–01 nov 2017
  2. From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion
    Kevin Sebastian Luck ,  Joseph Campbell ,  Michael Jansen ,  Daniel Aukes ,  and  Heni Ben Amor
    In Proceedings of Robotics: Science and Systems , Jul 2017
  3. Extracting bimanual synergies with reinforcement learning
    Kevin Sebastian Luck ,  and  Heni Ben Amor
    In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Jul 2017

2016

  1. Sparse latent space policy search
    Kevin Sebastian Luck ,  Joni Pajarinen ,  Erik Berger ,  Ville Kyrki ,  and  Heni Ben Amor
    In Proceedings of the AAAI Conference on Artificial Intelligence , Jul 2016

2014

  1. Latent space policy search for robotics
    Kevin Sebastian Luck ,  Gerhard Neumann ,  Erik Berger ,  Jan Peters ,  and  Heni Ben Amor
    In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems , Jul 2014