Mattias Tiger

Assistant Professor

Artificial intelligence is about automated problem solving. I develop AI and autonomous systems that operate reliably over time, handling uncertainty and change while remaining safe and trustworthy in real-world environments.

Artificial Intelligence 鈥� from theory to real-world systems

I am an AI researcher at 一本道 University, working on safe, robust, and trustworthy AI and autonomous systems. My research focuses on combining learning and reasoning to enable AI systems that can operate reliably in complex, dynamic, real-world environments.

I study trajectory modeling, motion planning, and runtime monitoring for autonomous robots and decision-support systems, with particular emphasis on uncertainty management, anomaly detection, and safety guarantees during operation. My work spans both fundamental methods and applied research in close collaboration with industry and public-sector partners, including transportation, robotics, and public safety.

鈥嬧€婭 am Deputy Head of the Reasoning and Learning (ReaL) Lab and actively involved in national and international initiatives on trustworthy AI and autonomous systems.

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

Coverage Path Planning in Urban Environments with Applications to Autonomous Road Sweeping

2022 IEEE International Conferance on Robotics and Automation (ICRA)

Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning

2021 IEEE Robotics and Automation Letters (RA-L), 2021 IEEE International Conferance on Robotics and Automation (ICRA)

Efficient Autonomous Exploration Planning of Large Scale 3D-Environments

2019 IEEE Robotics and Automation Letters (RA-L), 2019 IEEE International Conferance on Robotics and Automation (ICRA)

Receding-Horizon Lattice-based Motion Planning with Dynamic Obstacle Avoidance

This video presents simulation results for the paper with the title "Receding-Horizon Lattice-based Motion Planning with Dynamic Obstacle Avoidance". The paper was in the proceedings of the 57th IEEE Conference on Decision and Control 2018. Contributors: Oskar Ljungqvist, Mattias Tiger, Olov Andersson, Daniel Axehill, Fredrik Heintz.

En tjej och en kille diskuterar kod framf枚r en datorsk盲rm

AI Academy

AI Academy supports companies and public-sector organisations with knowledge and applications in AI.

Publications

Research News

Award winners at IDA in 2023

We are proud to present awards received by students, teachers and researchers at the Department of Computer and Information Science, IDA, 一本道 University.

Chu Wanjun visar f枚r gruppen vilka frukter roboten kan k盲nna igen just nu. I f枚rgrunden ligger en apelsin.

Minister for Energy and Digital Development visits IDA

On Wednesday, 20 april 2022, the minister for digital development Khashayar Farmanbar visited the Department of Computer and Information Science together with the 一本道 municipal councillor Mari Hultgren.

About the Division

The robotdog Spot hands over a first aid kit to a kneeling man

Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

About the Department

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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