Martin Maximillian De Fries
PhD student at Department of Electrical Engineering; Division of Electricity
- E-mail:
- martin.defries@angstrom.uu.se
- Visiting address:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
752 37 UPPSALA - Postal address:
- Box 65
751 03 UPPSALA
Publications
Recent publications
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Part of Results in Engineering (RINENG), 2025
- DOI for A methodology for image reproduction in virtual environments applied to an agricultural assistance function
- Download full text (pdf) of A methodology for image reproduction in virtual environments applied to an agricultural assistance function
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Virtual Testing of Assistance Functions in Agricultural Machinery
2025
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Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
Part of Circuits and Systems, p. 1-24, 2025
- DOI for Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
- Download full text (pdf) of Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
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Innovative Test Field Approach for Agricultural Applications
Part of 2. Fachtagung TestRig, 2024
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Part of 1st IFToMM Young Faculty Group Symposium on Emerging Fields in Mechanism and Machine Science, 2024
All publications
Articles in journal
-
Part of Results in Engineering (RINENG), 2025
- DOI for A methodology for image reproduction in virtual environments applied to an agricultural assistance function
- Download full text (pdf) of A methodology for image reproduction in virtual environments applied to an agricultural assistance function
-
Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
Part of Circuits and Systems, p. 1-24, 2025
- DOI for Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
- Download full text (pdf) of Reinforcement Learning in Mechatronic Systems: A Case Study on DC Motor Control
Comprehensive licentiate thesis
Conference papers
-
Innovative Test Field Approach for Agricultural Applications
Part of 2. Fachtagung TestRig, 2024
-
Part of 1st IFToMM Young Faculty Group Symposium on Emerging Fields in Mechanism and Machine Science, 2024