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Björn Lindqvist
Björn Lindqvist

Björn Lindqvist

PhD Student
Luleå University of Technology
Robotics and Artificial Intelligence
Signals and Systems
Department of Computer Science, Electrical and Space Engineering
bjorn.lindqvist@ltu.se
A2567 Luleå

Björn Lindqvist is a PhD Student at the Robotics and AI Team. He works mainly in collision avoidance and path planning for aerial and legged robots, with a focus on the applications of such technologies and their deployment in the field.
He was part of the NASA-JPL led Team CoSTAR in the DARPA SubT Challenge working on robot exploration in unknown and unstructured subterranean environments, specifically in the search-and-rescue context.
Over the last years he has worked extensively with deploying autonomous UAVs in the Mining Industry in the NEXGEN SIMS and illuMINEation EU Horizon 2020 projects, for increasing worker safety and for automating inspection and surveying technologies.
Björn has published scientific works on UAV autonomy in several top journals and conferences, such as the IEEE Transactions on Control Systems Technology, the IEEE Robotics and Automation Letters, and the Journal of Robotics and Autonomous Systems: https://scholar.google.com/citations?user=WKC0cbMAAAAJ&hl=sv

Publications

Conference paper

An Adaptive 3D Artificial Potential Field for Fail-safe UAV Navigation (2022)

Lindqvist. B, Haluska. J, Kanellakis. C, Nikolakopoulos. G
Part of: 2022 30th Mediterranean Conference on Control and Automation (MED), s. 362-367, IEEE, 2022
Conference paper

An Edge Architecture Oriented Model Predictive Control Scheme for an Autonomous UAV Mission (2022)

Seisa. A, Satpute. S, Lindqvist. B, Nikolakopoulos. G
Part of: 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), s. 1195-1201, IEEE, 2022
Article in journal

An Edge-Based Architecture for Offloading Model Predictive Control for UAVs (2022)

Seisa. A, Satpute. S, Lindqvist. B, Nikolakopoulos. G
Robotics, Vol. 11, nr. 4
Article in journal

COMPRA: A COMPact Reactive Autonomy Framework for Subterranean MAV Based Search-And-Rescue Operations (2022)

Lindqvist. B, Kanellakis. C, Mansouri. S, Agha-mohammadi. A, Nikolakopoulos. G
Journal of Intelligent and Robotic Systems, Vol. 105, nr. 3
Conference paper

Design and Model Predictive Control of a Mars Coaxial Quadrotor (2022)

Patel. A, Banerjee. A, Lindqvist. B, Kanellakis. C, Nikolakopoulos. G
Part of: 2022 IEEE Aerospace Conference (AERO), IEEE, 2022