Patric Jensfelt

Patric Jensfelt is a full-time Professor at the Robotics, Perception and Learning (RPL) division within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology. He contributes to robotics and autonomous systems through research, teaching, and industry collaboration.

• Academic Rank: Professor
• Department: Robotics, Perception and Learning (RPL)
• School: School of Electrical Engineering and Computer Science (EECS)
• University: KTH Royal Institute of Technology

His research focuses on robotics and autonomous systems, particularly spatial cognition for enabling robots to understand and model their environments. He integrates sensor data with high-level symbolic reasoning to advance navigation, mapping, and system integration. Recent work includes applications in service robotics, 3D foot scanning (via the company Volumental), and drone-based perception.

The 15 most recent articles highlight advancements in scene flow estimation, autonomous driving, LiDAR processing, and domain adaptation. They emphasize self-supervised learning, dynamic environment modeling, and robust spatial representations for autonomous systems.

Patric supervises Master’s and PhD students, particularly in project courses like DD2410 Introduction to Robotics, DD2419 Project Course in Robotics and Autonomous Systems, and the doctoral course FDD3356 System Integration for Robotics. He is actively involved in the WASP Graduate School, teaching Autonomous Systems annually.

He leads the Robotics, Perception and Learning (RPL) division, which fosters innovation in robotics through experimental projects and industry partnerships like Intelligent Machines. The division supports internships (unpaid) and encourages applicants to demonstrate prior engagement with his research.