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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
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:


Conference paper

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

Lindqvist. B, Haluska. J, Kanellakis. C, Nikolakopoulos. G
Paper presented at : Mediterranean Conference on Control and Automation (MED)
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
Article in journal

Multimodality robotic systems: Integrated combined legged-aerial mobility for subterranean search-and-rescue (2022)

Lindqvist. B, Karlsson. S, Koval. A, Tevetzidis. I, Haluska. J, Kanellakis. C, et al.
Robotics and Autonomous Systems, Vol. 154
Conference paper

A Scalable Distributed Collision Avoidance Scheme for Multi-agent UAV systems (2021)

Lindqvist. B, Sopasakis. P, Nikolakopoulos. G
Part of: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), s. 9212-9218, IEEE, 2021
Conference paper

Exploration-RRT: A multi-objective Path Planning and Exploration Framework for Unknown and Unstructured Environments (2021)

Lindqvist. B, Agha-mohammadi. A, Nikolakopoulos. G
Part of: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), s. 3429-3435, IEEE, 2021