Mattias Tiger
Biträdande universitetslektor
Jag är AI forskare och biträdande labbledare för Reasoning and Learning Lab (ReaL).
Forskning
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.
Publikationer
Mattias Tiger
(2022)
2026
Multi UAVs Preflight Planning in a Shared and Dynamic Airspace
Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026)
(Konferensbidrag)
https://dx.doi.org/10.65109/KPWJ5508
2025
Safe Lattice Planning for Motion Planning with Dynamic Obstacles
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), s. 9287-9294
(Konferensbidrag)
https://dx.doi.org/10.1109/IROS60139.2025.11247023
2024
Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments
2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024, s. 3076-3083
(Konferensbidrag)
https://dx.doi.org/10.1109/IROS58592.2024.10801910
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
2024 IEEE International Conference on Robotics and Automation (ICRA), s. 2389-2395
(Konferensbidrag)
https://dx.doi.org/10.1109/ICRA57147.2024.10610996
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
(Konferensbidrag)
2023
On-Demand Multi-Agent Basket Picking for Shopping Stores
2023 IEEE International Conference on Robotics and Automation (ICRA), s. 5793-5799
(Konferensbidrag)
https://dx.doi.org/10.1109/ICRA48891.2023.10160398
2022
Safety-Aware Autonomous Systems: Preparing Robots for Life in the Real World
(Doktorsavhandling, monografi)
https://dx.doi.org/10.3384/9789179295028
Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping
2022 International Conference on Robotics and Automation (ICRA), s. 3328-3334
(Konferensbidrag)
https://dx.doi.org/10.1109/ICRA46639.2022.9811941
2021
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
IEEE Robotics and Automation Letters, Vol. 6, s. 4385-4392
(Artikel i tidskrift)
https://dx.doi.org/10.1109/LRA.2021.3068550
2020
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
Trustworthy AI - Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers, s. 104-111
(Konferensbidrag)
https://dx.doi.org/10.1007/978-3-030-73959-1_10
Spatio-Temporal Learning, Reasoning and Decision-Making with Robot Safety Applications: PhD Research Project Extended Abstract
Proceedings of the 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS 2020)
(Konferensbidrag)
Incremental Reasoning in Probabilistic Signal Temporal Logic
International Journal of Approximate Reasoning, Vol. 119, s. 325-352, Artikel j.ijar.2020.01.009
(Artikel i tidskrift)
https://dx.doi.org/10.1016/j.ijar.2020.01.009
2019
Bayesian optimization for selecting training and validation data for supervised machine learning
31st annual workshop of the Swedish Artificial Intelligence Society (SAIS 2019), Umeå, Sweden, June 18-19, 2019.
(Konferensbidrag)
Efficient Autonomous Exploration Planning of Large Scale 3D-Environments
IEEE Robotics and Automation Letters, Vol. 4, s. 1699-1706
(Artikel i tidskrift)
https://dx.doi.org/10.1109/LRA.2019.2897343
2018
Receding-Horizon Lattice-based Motion Planning with Dynamic Obstacle Avoidance
2018 IEEE Conference on Decision and Control (CDC), s. 4467-4474
(Konferensbidrag)
https://dx.doi.org/10.1109/CDC.2018.8618964
