Daniel Axehill

Professor

Publications

Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill, Disturbance-Parametrized Robust Lattice-based Motion Planning, IEEE Transactions on Intelligent Vehicles 9:3034-3046 (2024) https://doi.org/10.1109/tiv.2023.3296691

Anja Hellander, Daniel Axehill, On Methods for Improved Efficiency of Optimal Task and Motion Planning, 2024 IEEE 63rd Conference on Decision and Control (CDC), pp. 1657-1663, Institute of Electrical and Electronics Engineers (IEEE) (2024) https://doi.org/10.1109/CDC56724.2024.10886213

Anja Hellander, Kristoffer Bergman, Daniel Axehill, Improved Task and Motion Planning for Rearrangement Problems using Optimal Control^*, 2024 IEEE Intelligent Vehicles Symposium (IV), pp. 2033-2040, IEEE (2024) https://doi.org/10.1109/iv55156.2024.10588789

Daniel Arnstrom, David Broman, Daniel Axehill, Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control, IEEE Transactions on Automatic Control 69:7190-7196 (2024) https://doi.org/10.1109/TAC.2024.3395521

Daniel Arnström, Daniel Axehill, A High-Performant Multi-Parametric Quadratic Programming Solver, 2024 63rd IEEE Conference on Decision and Control, IEEE Conference on Decision and Control, pp. 303-308, Institute of Electrical and Electronics Engineers (IEEE) (2024) https://doi.org/10.1109/CDC56724.2024.10886132

News

A truck with a dolly and a trailer on Scania’s test track

Trucks with trailers can manoeuvre autonomously

Reversing a heavy truck with trailers is a job for a skilled professional driver – or a set of sensors and advanced computer software. Oskar Ljungqvist presents in his doctoral thesis a major step towards self-driving trucks.

Autonomous vehicles learn to find the best path

Kristoffer Bergman, doctoral student in Automatic Control, describes in his licentiate thesis methods to enable autonomous vehicles find the fastest or most energy-efficient path from starting point to a destination, even if obstacles are in the way.

Trucks can also manoeuvre autonomously

Oskar Ljungqvist, PhD student at the Division of Automatic Control at LiU, describes in his licentiate thesis the development of a system for motion planning and control, that enables trucks with trailers to move autonomously.

Research

Planning and optimization-based control for autonomous systems

A central function of an autonomous system is to enable it to make use of its control signals. In our research, mathematical models are used by the system to predict the value and feasibility of possible choices of control signals.

WASP - Wallenberg AI, Autonomous Systems and Software Program

The fourth industrial revolution is upon us, as automation becomes autonomy. LiU conducts outstanding research in several of the fields that are central to the Wallenberg AI Autonomous Systems and Software Program, WASP.