Florian Mirus
Orcid: 0000-0001-8923-6009
According to our database1,
Florian Mirus
authored at least 21 papers
between 2012 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A generic approach for reactive stateful mitigation of application failures in distributed robotics systems deployed with Kubernetes.
CoRR, 2024
Scenario Execution for Robotics: A generic, backend-agnostic library for running reproducible robotics experiments and tests.
CoRR, 2024
A Comprehensive Modeling and Scheduling Approach for Allocating Distributed Multi-Robot Software to the Edge/Cloud.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Towards fault-tolerant deployment of mobile robot navigation in the edge: an experimental study.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Conquering the Robotic Software Development Cycle at Scale: Using KubeROS from Simulation to Real-world Deployment.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2021
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
2020
Towards a cognitive automotive environment model: a novel approach based on distributed representations and spiking neural networks.
PhD thesis, 2020
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Detection of abnormal driving situations using distributed representations and unsupervised learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks.
Frontiers Neurorobotics, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour.
Cogn. Syst. Res., 2018
Towards cognitive automotive environment modelling: reasoning based on vector representations.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2016
A modular hybrid localization approach for mobile robots combining local grid maps and natural landmarks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
2012
Rapid Detection of Fast Objects in Highly Dynamic Outdoor Environments using Cost-Efficient Sensors.
Proceedings of the ROBOTIK 2012, 2012