Department of Robotics, Perception and Learning
The Department of Robotics, Perception and Learning (RPL) performs research in robotics, computer vision and machine learning. Robotic systems that provide advanced service in industry, for search and rescue operations, in medical applications or as assistants to elderly will become an integral part of the future society.
The department is part of the School of Electrical Engineering and Computer Science
Research areas
News
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Accepted publications: April22 May 2024
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Accepted publications: May8 Sep 2023
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Accepted publications: March27 Apr 2023
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Accepted publications: February27 Apr 2023
Calendar
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Docent lectures
Friday 2026-03-06, 09:00 - 10:00
Participating: Noémie Jaquier
Location: H1
Video link: Zoom. Meeting ID: 669 4510 5908 Password: 925407
2026-03-06T09:00:00.000+01:00 2026-03-06T10:00:00.000+01:00 Traveling the Robot Learning Manifold: A Tale of Geometries and Inductive Biases (Docent lectures) H1 (KTH, Stockholm, Sweden)Traveling the Robot Learning Manifold: A Tale of Geometries and Inductive Biases (Docent lectures) -
Public defences of doctoral theses
Thursday 2026-03-12, 14:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Campus
Video link: https://kth-se.zoom.us/j/68851106286
Doctoral student: Jonathan Styrud , Robotik, perception och lärande, RPL, ABB Robotics, Västerås, Sweden
2026-03-12T14:00:00.000+01:00 2026-03-12T14:00:00.000+01:00 Creating Behavior Trees for Autonomous Versatile Robots (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Campus (KTH, Stockholm, Sweden)Creating Behavior Trees for Autonomous Versatile Robots (Public defences of doctoral theses) -
Public defences of doctoral theses
Monday 2026-03-16, 09:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Doctoral student: Alfredo Reichlin , Robotik, perception och lärande
2026-03-16T09:00:00.000+01:00 2026-03-16T09:00:00.000+01:00 Interactive Representation Learning (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Interactive Representation Learning (Public defences of doctoral theses)