Transferability in Robotics Workshop

@ ICRA 2023, London - acceptance pending

Transferability in Robotics is a key step to achieving sufficient scale and robustness in order to make robots unambiguous in our everyday lives. The concept of transferability covers a wide range of topics such as i) Embodiment transfer - transferring from one robotic platform to another while considering their different embodiments, ii) Task/skill transfer - transferring methods or capabilities from one task to another, and iii) Knowledge transfer - transferring high-level concepts from one to another. These different areas also have different definitions of transferability and employ different approaches (e.g., representation learning, reinforcement learning, meta-learning, sim2real, interactive learning) for the respective task. While each of these fields has made headway in its own right, to really push forward the state of the art in transferability, a combination of contributions from the different fields is needed. The EU Horizon project euRobin aims to achieve transferability by not focusing on any specific sub-category but to share knowledge in a higher/more abstract way. The goal of this workshop is to combine the advances made in the individual fields into a more global picture by facilitating a common understanding of transferability, as well as highlighting contributions and encouraging collaborations between the different areas.


The workshop aims to explore different aspects of transferability in robotics, facilitating contributions from a wide range of related fields. It also introduces the vision of the euRobin project on how to tackle transferability to solve meaningful real-world tasks such as robotic manufacturing for a circular economy, Personal Robots for Enhanced QOL and Well-Being as well as Outdoor Robots for Sustainable Communities. Specifically, the workshop will focus on, but is not limited to, the following topics in regards to transferability in robotics:

  • Transferable representations
  • Transfering from simulation to real-world (and vice versa)
  • Task to task transfer (meta-learning and others)
  • Robot (embodiment) to robot transfer
  • Concept to concept transfer
  • Transferability in practice


The schedule will be announced after acceptance.

Call for contributions

Accepted extended abstracts (3 pages with unlimited references) presented in poster sessions and selected spotlight talks. Submission will be done over the CMT platform.

CMT link will be announced when submissions open.

Important dates:

  • Submission Deadline: Date will be announced after acceptance.
  • Notification: Date will be announced after acceptance.

Travel Grant

The euROBIN project offers funding for one travel grant to attend the workshop in London, covering expenses up to $3,000. The award is designated to exceptional students who are actively working on skill, task, and knowledge transfer. To foster diversity, we highly encourage applications from underrepresented groups. Interested candidates need to submit an extended abstract (see above), a two-page motivation letter, and their CV.

Application link will be announced when submissions open.

Important dates:

  • Submission Deadline: Date will be announced after acceptance.
  • Notification: Date will be announced after acceptance.

Invited Speakers

Invited Speakers will be announced after acceptance.


  • Michael C. Welle, KTH Royal Institute of Technology (KTH), Stockholm, Sweden
  • Andrej Gams, Jozef Stefan Institute (JSI), Ljubljana, Slovenia
  • Ahalya Prabhakar, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
  • Rainer Kartmann, Karlsruhe Institute of Technology (KIT), 7 Karlsruhe, Germany
  • Daniel Leidner, German Aerospace Center (DLR), Weßling, Germany
  • Danica Kragic, KTH Royal Institute of Technology (KTH), Stockholm, Sweden


If you have any questions please contact Michael Welle at the email: mwelle AT kth DOT se

Participants are required to abide by the IEEE RAS Code of Conduct