The division for Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology is organising the second edition of the RPL Summer School for doctoral and postdoctoral researchers, which is set to take place on 9-14 June 2024 in Stockholm, Sweden.
The summer school hosts a mix of academic and industrial researchers from around the world and aims to provide a forum that promotes new collaborations. Our school focuses on a diverse range of topics within robotics, perception, and learning, encompassing areas such as Machine Learning, Computer Vision, Robotics, Human-Robot Interaction, Planning, and Decision Making.
The summer school revolves around brainstorming and discussion sessions among the participants, intertwined with keynote speeches and invited talks. The aim of such a programme is for the participants to discover overlaps in their research topics, find novel ideas, and establish new points of collaboration with other researchers throughout the summer school. We hope that by the end of the event participants will have formed concrete leads for future works. A preliminary summary of the programme is as follows:
The summer school will take place at Happy Tammsvik resort, where participants can enjoy nature, spa, outdoor activities, and more. RPL sponsors the expenses of the summer school participants, including accommodation, meals and refreshments from dinner on 9 June, to midday 14 June, as well as all the materials and activities in the course of the event.
MayA CAKMAK
University of Washington
Anna Gautier
Postdoc
Fereidoon zangeneh
Doctoral student
Grace Hung
Administrative coordinator
Jens Lundell
Postdoc
Maciej Wozniak
Doctoral student
Miguel Vasco
Postdoc
Olov andersson
Assistant professor
Patric Jensfelt
Professor
The application period for the RPL Summer School 2024 has passed and it is no longer possible to apply to the summer school.
For any questions you can reach us via our email. You can also check our FAQ page.
RPL Summer School 2024
Division for Robotics, Perception and Learning
KTH Royal Institute of Technology
Lindstedtsvägen 24
114 28 Stockholm
Sweden