Vincent Dietrich

Orcid: 0000-0003-0568-9727

According to our database1, Vincent Dietrich authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
NanopoReaTA: a user-friendly tool for nanopore-seq real-time transcriptional analysis.
Bioinform., August, 2023

2021
Automated design synthesis of perception systems for industrial applications
PhD thesis, 2021

The Furtherance of Autonomous Engineering via Reinforcement Learning.
Proceedings of the 18th International Conference on Informatics in Control, 2021

2020
Automatic Domain Extension and Optimization Based on Set-Theory.
Proceedings of the Informatics in Control, Automation and Robotics, 2020

Domain Optimization for Hierarchical Planning based on Set-Theory.
Proceedings of the 17th International Conference on Informatics in Control, 2020

RTFM: Towards Understanding Source Code using Natural Language Processing.
Proceedings of the 17th International Conference on Informatics in Control, 2020

2019
Probabilistic Orientation Resolution for Near Symmetrical Objects Using Depth Images.
Proceedings of the Advances in Service and Industrial Robotics, 2019

A Hierarchical Planner based on Set-theoretic Models: Towards Automating the Automation for Autonomous Systems.
Proceedings of the 16th International Conference on Informatics in Control, 2019

Automatic Configuration of the Structure and Parameterization of Perception Pipelines.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

2018
A Probabilistic Framework for Uncertainty-Aware High-Accuracy Precision Grasping of Unknown Objects.
J. Intell. Robotic Syst., 2018

Configuration of Perception Systems via Planning Over Factor Graphs.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016
Probabilistic multi-sensor fusion based on signed distance functions.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Precision grasping based on probabilistic models of unknown objects.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016


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