Mattias Tiger

Orcid: 0000-0002-8546-4431

According to our database1, Mattias Tiger authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles.
CoRR, 2023

On-Demand Multi-Agent Basket Picking for Shopping Stores.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning.
IEEE Robotics Autom. Lett., 2021

2020
Incremental reasoning in probabilistic Signal Temporal Logic.
Int. J. Approx. Reason., 2020

Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

2019
Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments.
IEEE Robotics Autom. Lett., 2019

2018
A Second Screen Journey to the Cup: Twitter Dynamics During the Stanley Cup Playoffs.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

Gaussian Process Based Motion Pattern Recognition with Sequential Local Models.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2016
Stream Reasoning Using Temporal Logic and Predictive Probabilistic State Models.
Proceedings of the 23rd International Symposium on Temporal Representation and Reasoning, 2016

2015
Towards Unsupervised Learning, Classification and Prediction of Activities in a Stream-Based Framework.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Online sparse Gaussian process regression for trajectory modeling.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Towards Learning and Classifying Spatio-Temporal Activities in a Stream Processing Framework.
Proceedings of the STAIRS 2014, 2014


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