Personal Information
Matthias Josef Eder
Matthias Eder completed his bachelor's and master's degree at TU Graz in the field of software engineering. He also worked in software development for robotics at IncubedIT in Graz. Since 2019, he is employed as university assistant and persuing his PhD at the TU Graz. As part of the working group for autonomous intelligent systems his research focus lies on Explainable Robotics to improve trust and cognitive load of the operator. He is part in several research projects such as Easier, RoboMole and the AMADEE-20 mission.
Publications
A Universal Person Follower Interface for Mobile Robot SystemsProceedings of the Austrian Robotics Workshop 2023
An Event-Based Approach to Autonomous NavigationProceedings of the Austrian Robotics Workshop 2023
Gaining Insights into a Robot Localization Monitor Using Explainable Artificial IntelligenceAdvances in Service and Industrial Robotics - RAAD 2023170-177
Traversability analysis for off-road environments using locomotion experiments and earth observation data
Robotics and Autonomous Systems
168,
2023
, DOI
Predicting Energy Consumption and Traversal Time of Ground Robots for Outdoor Navigation on Multiple Types of Terrain2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ROBO-MOLE: An assistant robot system for first responders in subterranean scenarios
Impact of Robot Related User Pre-experience on Cognitive Load, Trust, Trustworthiness and Satisfaction with VR InterfacesAdvances in Service and Industrial Robotics. RAAD 2023123-131
Optimierung des Energieverbrauchs und der Durchquerungszeit von Bodenrobotern für die Navigation im unwegsamen Gelände
The AMADEE-20 Robotic Exploration Cascade: An Experience ReportAdvances in Service and Industrial Robotics - RAAD 2022477-484
Off-Road Navigation Maps for Robotic Platforms using Convolutional Neural Networks
AGILE: GIScience Series
3,
2022
, DOI
Interpretable Machine Learning with Brain Image and Survival Data
BioMedInformatics
2,
492-510,
2022
, DOI
A Fast Method for Explanations of Failures in Optimization-Based Robot Motion PlanningAdvances in Service and Industrial Robotics - RAAD 2022114-121
Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)
Offroad Terrain Classification for Mobile RobotsProceedings of the Austrian Robotics Workshop 20226-11
Estimation of Robot-Specific Parameters for Robot Motion ModelsProceedings of the Austrian Robotics Workshop 202242-47
Ground Robots in Disaster Response – Why are they still not there?
Generating Robot-Dependent Cost Maps for Off-Road Environments Using Locomotion Experiments and Earth Observation Data2022 Sixth IEEE International Conference on Robotic Computing (IRC)
Creating a robot localization monitor using particle filter and machine learning approaches
Applied Intelligence
,
1-15,
2021
, DOI
Scenario-based Simulation for Energy Optimization in Learning Factory EnvironmentsProceedings of the Conference on Learning Factories (CLF) 20211-6
Autonomous robot navigation for search and rescue operations in remote terrain
An augmented reality user interface for operating a mobile robot in analog planetary researchAustrian Robotics Workshop 2021
Interactive Teaching Concept for a Data Analytics Workshop in Learning FactoriesProceedings of the Conference on Learning Factories (CLF) 2021
Development and Evaluation of a Mixed Reality Assistance System in the Context of Manual AssemblyProceedings of the Conference on Learning Factories (CLF) 2021
Autonomous robot navigation in alpine terrain
An Industry 4.0 Production Workplace Enhanced by Using Mixed Reality Assembly Instructions with Microsoft HoloLens
Using Particle Filter and Machine Learning for Accuracy Estimation of Robot LocalizationAdvances and Trends in Artificial Intelligence. From Theory to Practice700-713
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