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Björn Lindqvist
Björn Lindqvist

Björn Lindqvist

Luleå tekniska universitet
Robotik och artificiell intelligens
Signaler och system
Institutionen för system- och rymdteknik
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



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

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

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

Seisa. A, Satpute. S, Lindqvist. B, Nikolakopoulos. G
Ingår i: 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), s. 1195-1201, IEEE, 2022
Artikel i tidskrift

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
Artikel i tidskrift

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

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

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