Personal profile
Biography
Matías Mattamala received his M.Sc in Electrical Engineering from the Universidad de Chile in 2018. He then completed his Ph.D. in vision-based legged robot navigation from the University of Oxford in 2023 under the supervision of Prof. Maurice Fallon. In 2022, he was also a visiting researcher at the Robotics Systems Lab, ETH Zurich, under Prof. Marco Hutter. After the PhD, he stayed in Oxford from 2023-2025 as a Postdoctoral Researcher with the Dynamic Robot Systems Group, working on robotic solutions for forestry.
In 2025, he started a postdoc in the Centre for AI in Assistive Autonomy, working with Prof. Subramanian Ramamoorthy.
Research Interests
I am interested in the foundations and systems for robot autonomy. I am particularly interested in the problem of scene representations in robotics (SLAM, semantics, grounding), and how they enable action (navigation, manipulation) at different reasoning levels and time horizons. In my work, I aim to develop robotic systems that operate and adapt in the real-world---closely working with humans or alone in the wild.
Education/Academic qualification
Robotics, Doctor of Philosophy (PhD), "Vision-based Legged Robot Navigation: Localisation, Local Planning, Learning", University of Oxford
7 Oct 2019 → 17 Nov 2023
Award Date: 1 Feb 2024
Robotics, Master of Science, "Visual Localisation for Resource-constrained Robots", University of Chile
Aug 2015 → Aug 2018
Award Date: 14 Aug 2018
External positions
Postdoctoral Researcher, University of Oxford
18 Sept 2023 → 31 May 2025
Visiting Researcher, ETH Zürich
4 Apr 2022 → 30 Sept 2022
Keywords
- QA75 Electronic computers. Computer science
Research Themes and Networks
- College of Science and Engineering Research Themes
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Collaborations and top research areas from the last five years
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Room: A Physics-Based Continuum Robot Simulator for Photorealistic Medical Datasets Generation
Esposito, S., Mattamala, M., Rebain, D., Zhang, F. X., Dhaliwal, K., Khadem, M. & Ramamoorthy, S., 16 Sept 2025, University of Edinburgh, p. 1-8, 8 p.Research output: Working paper › Preprint
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Wild visual navigation: fast traversability learning via pre-trained models and online self-supervision
Mattamala, M., Frey, J., Libera, P., Chebrolu, N., Martius, G., Cadena, C., Hutter, M. & Fallon, M., Sept 2025, In: Autonomous Robots. 49, 3, p. 1-18 18 p., 19.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
AutoInspect: Towards Long-Term Autonomous Inspection and Monitoring
Staniaszek, M., Flatscher, T., Rowell, J., Niu, H., Liu, W., You, Y., Gadd, M., Mattamala, M., Schutz, A., De Martini, D., Pitt, L., Skilton, R., Fallon, M. & Hawes, N., 7 Jul 2025, In: IEEE Transactions on Field Robotics. 2, p. 529-548 20 p.Research output: Contribution to journal › Article › peer-review
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Building Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead
Mattamala, M., Chebrolu, N., Frey, J., Freißmuth, L., Oh, H., Casseau, B., Hutter, M. & Fallon, M., 27 Jun 2025, In: IEEE Transactions on Field Robotics. 2, p. 418-436 19 p.Research output: Contribution to journal › Article › peer-review
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Exosense: A Vision-Based Scene Understanding System for Exoskeletons
Wang, J., Mattamala, M., Kassab, C., Burger, G., Elnecave, F., Zhang, L., Petriaux, M. & Fallon, M., 20 Feb 2025, In: IEEE Robotics and Automation Letters. 10, 4, p. 3510-3517 8 p.Research output: Contribution to journal › Article › peer-review