Photo of Mattias Tiger

Mattias Tiger

Postdoc

 

PhD Defence

Research

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.

Publications

2023

Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz (2023) On-Demand Multi-Agent Basket Picking for Shopping Stores 2023 IEEE International Conference on Robotics and Automation (ICRA)

2022

Mattias Tiger (2022) Safety-Aware Autonomous Systems: Preparing Robots for Life in the Real World
Daniel Engelsons, Mattias Tiger, Fredrik Heintz (2022) Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping 2022 International Conference on Robotics and Automation (ICRA), p. 3328-3334 Continue to DOI

2021

Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz (2021) Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning IEEE Robotics and Automation Letters, Vol. 6, p. 4385-4392 Continue to DOI

2020

Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz (2020) Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms

About the division

Colleagues at AIICS

About the department