Gustav Sten

Gustav Sten received his MSc in Mechatronics and BSc in Mechanical Engineering from KTH Royal Institute of Technology in Sweden in 2018. He subsequently completed his PhD at the Mechatronics and Embedded Control Systems Group, Department of Machine Design at KTH. His doctoral work, titled “Topographic estimation, Online Trajectory Rollout and Experimental Platforms for Autonomous Forest Machines,” focused on control, perception, and experimental validation of autonomous forestry machines operating in complex, unstructured forest environments, in close collaboration with the Swedish forest industry.

Gustav is currently a postdoctoral researcher at KTH, working at the intersection of autonomous systems, sensing, and intelligent control. His research is connected to collaborative projects such as AD-EYE and INFORM. Within AD-EYE, he contributes to developing open, modular testbeds for autonomous driving and intelligent transport systems, enabling safe, scalable experimentation in real-world urban environments. In the INFORM project, his work focuses on advanced sensing, localization, and mapping for autonomous multi-robot systems, combining data from drones and ground vehicles to generate high-resolution representations of forest environments for wildfire risk assessment.

His research interests include autonomous systems, robotics, sensor fusion, localization and mapping, and control in safety-critical and natural environments.