Deputy Lab Leader

Mattias Tiger

Assistant Professor

Building autonomous systems that reason about their own limitations and remain safe when the world breaks their assumptions.

Linköping University · AIICS · ReAL Lab

Self-Supervising AutonomyAI4AISafety & Formal VerificationMulti-Agent Systems

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LiU Profile mattias.tiger@liu.se

About

Mattias Tiger develops self-supervising autonomy: systems that monitor their own execution through formal specifications and learned models, detect when something goes wrong, and replan to fix it. His current work extends this from single-agent introspective planning (ProbSTL) to multi-agent teams that police each other, diagnose faults, and collectively recover from failures.

Most AI professors publish papers about AI. Mattias also builds the infrastructure that runs it (Stellar AI platform), the frameworks that deploy it (AIAppOps), the robots and drones that embody it (WARA-PS), and the education that teaches it (AI Academy). These are examples from a broader programme of AI for AI: using AI to systematically accelerate AI research, development, and deployment.

He leads 9 PhD students, received the European AI Dissertation Award for his doctoral thesis, and has delivered 100+ invited talks across academia, government, and industry.

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

Paper DiVA Poster Video

@inproceedings{WimanTiger2025IROS,
  author       = {Wiman, Emil and Tiger, Mattias},
  title        = {Safe Lattice Planning for Motion Planning with Dynamic Obstacles},
  booktitle    = {2025 IEEE/RSJ International Conference on Intelligent Robots and Systems {(IROS)}},
  year         = {2025},
  organization = {IEEE},
}

Source: Local repo

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

Paper DiVA

@inproceedings{rocha2024enhancing,
  author       = {Rocha, Lidia and Bidinotto, Jorge and Heintz, Fredrik and Tiger, Mattias and
                  Vivaldini, Kelen},
  title        = {Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments},
  booktitle    = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems {(IROS)}},
  pages        = {3076--3083},
  year         = {2024},
  organization = {IEEE},
}

Source: Local repo

Conference

Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles

Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz

DiVA

@inproceedings{daep,
  author    = {Wiman, Emil and Widén, Ludvig and Tiger, Mattias and Heintz, Fredrik},
  title     = {Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles},
  booktitle = {2024 IEEE International Conference on Robotics and Automation (ICRA)},
  volume    = {},
  number    = {},
  pages     = {2389-2395},
  year      = {2024},
  doi       = {10.1109/ICRA57147.2024.10610996},
  keywords  = {Three-dimensional displays;Autonomous systems;Benchmark testing;Planning;Collision avoidance;Robots},
}

Source: Local repo

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

Paper DiVA Video

@inproceedings{TigerEtal2023ICRA,
  author       = {Tiger, Mattias and Bergstr{\"o}m, David and Wijk Stranius, Simon and
                  Holmgren, Evelina and de Leng, Daniel and Heintz, Fredrik},
  title        = {On-Demand Multi-Agent Basket Picking for Shopping Stores},
  booktitle    = {2023 IEEE International Conference on Robotics and Automation {(ICRA)}},
  pages        = {5793--5799},
  year         = {2023},
  doi          = {10.1109/ICRA48891.2023.10160398},
  organization = {IEEE},
}

Source: Local repo

2022

Thesis

Safety-Aware Autonomous Systems

Mattias Tiger

Linköping Studies in Science and Technology. Dissertations 2262, Linköping University Electronic Press, Linköping

Paper DiVA

@phdthesis{Tiger2022PhD,
  author = {Tiger, Mattias},
  title  = {Safety-Aware Autonomous Systems},
  school = {Link{\"o}ping University},
  year   = {2022},
}

Source: Local repo

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)

Paper DiVA

@inproceedings{engelsons2022coverage,
  author       = {Engelsons, Daniel and Tiger, Mattias and Heintz, Fredrik},
  title        = {Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping},
  booktitle    = {Proceedings of the 2022 IEEE International Conference on Robotics and Automation (ICRA)},
  pages        = {3328--3334},
  year         = {2022},
  organization = {IEEE},
}

Source: Local repo

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

Paper DiVA

@article{TigerRAL2021,
  author    = {Tiger, Mattias and Bergstr{\"o}m, David and Norrstig, Andreas and
               Heintz, Fredrik},
  title     = {Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning},
  journal   = {IEEE Robotics and Automation Letters},
  volume    = {6},
  number    = {3},
  year      = {2021},
  month     = {7},
  publisher = {IEEE},
  optpages  = {4385--4392},
}

Source: Local repo

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

Paper DiVA

@inproceedings{prantare2021towards,
  author       = {Pr{\"a}ntare, Fredrik and Tiger, Mattias and Bergstr{\"o}m, David and
                  Appelgren, Herman and Heintz, Fredrik},
  title        = {Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms},
  booktitle    = {Trustworthy AI-Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4--5, 2020, Revised Selected Papers 1},
  pages        = {104--111},
  year         = {2021},
  organization = {Springer International Publishing},
}

Source: Local repo

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

DiVA

@inproceedings{tigerSAIS2020,
  author    = {Tiger, Mattias and Heintz, Fredrik},
  title     = {Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications},
  booktitle = {Swedish Artificial Intelligence Society Workshop (SAIS)},
  year      = {2020},
  titleop   = {Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications: PhD Research Project Extended Abstract},
}

Source: Local repo

Journal

Incremental Reasoning in Probabilistic Signal Temporal Logic

Mattias Tiger, Fredrik Heintz

International Journal of Approximate Reasoning 119:j.ijar.2020.01.009

Paper DiVA

@article{TigerIJAR2020,
  author    = {Mattias Tiger and Fredrik Heintz},
  title     = {Incremental reasoning in probabilistic Signal Temporal Logic},
  journal   = {International Journal of Approximate Reasoning},
  volume    = {119},
  pages     = {325 - 352},
  year      = {2020},
  publisher = {Elsevier},
  doi       = {https://doi.org/10.1016/j.ijar.2020.01.009},
  issn      = {0888-613X},
}

Source: Local repo

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