Mattias Tiger
Deputy Lab Leader

Mattias Tiger

Assistant Professor
Linköping University · AIICS · ReAL Lab
Safe Autonomous SystemsTrajectory LearningMotion Planning

About

Mattias Tiger is Assistant Professor and Deputy Leader of the ReAL Lab. His research focuses on safety-aware autonomous systems, trajectory learning, and motion planning with dynamic obstacles. He received EurAI recognition at ECAI 2023 for his doctoral thesis. He also leads commissioned AI education (uppdragsutbildning) for industry and government through the AI Academy.

Publications 10

2025
Conference
Safe Lattice Planning for Motion Planning with Dynamic Obstacles
Emil Wiman, Mattias Tiger
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Yi Guo (ed.), Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9287-9294, IEEE
2024
Conference
Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments
Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Vivaldini
2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024, IEEE International Conference on Intelligent Robots and Systems, pp. 3076-3083, IEEE
Conference
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz
2023
Conference
On-Demand Multi-Agent Basket Picking for Shopping Stores
Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz
2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 5793-5799, IEEE
2022
Thesis
Safety-Aware Autonomous Systems
Mattias Tiger
Linköping Studies in Science and Technology. Dissertations 2262, Linköping University Electronic Press, Linköping
Conference
Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping
Daniel Engelsons, Mattias Tiger, Fredrik Heintz
2022 International Conference on Robotics and Automation (ICRA), pp. 3328-3334, Institute of Electrical and Electronics Engineers (IEEE)
2021
Journal
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
IEEE Robotics and Automation Letters 6:4385-4392
2020
Conference
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
Trustworthy AI - Integrating Learning, Optimization and Reasoning, Fredrik Heintz, Michela Milano, Barry O’Sullivan (eds.), Lecture Notes in Computer Science, pp. 104-111, Springer, Cham, Germany
Conference
Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications
Mattias Tiger, Fredrik Heintz
Proceedings of the 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS 2020), Fredrik Johansson (ed.), Göteborg
Journal
Incremental Reasoning in Probabilistic Signal Temporal Logic
Mattias Tiger, Fredrik Heintz
International Journal of Approximate Reasoning 119:j.ijar.2020.01.009
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