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Arne Passon

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Arne Passon

Technische Universität Berlin
Fachgebiet Regelungssysteme
Sekretariat EN11
Einsteinufer 17
D-10587 Berlin

Office: EN 230 (Elektrotechnik Neubau)
Phone: +49 (0)30 314-23890
Fax: +49 (0)30 314-21137
Email: Passon@control.TU-berlin.de


Office Hours

I no longer offer office hours as I have left university.

Offered/Open Theses

I no longer offer theses as I have left university.

Brief Biography

I started my studies from 2006 to 2010 with the Bachelor of Engineering in Information Technology at the TH Nürnberg combined with an education as Electronics Technician for Automation Technology at the Siemens AG in Erlangen. From 2010 to 2014 I studied towards my Master of Science in Electrical Engineering at TU Berlin in Germany. In spring/summer 2014 I spent some months abroad in Southeast Asia to advance my linguistic and intercultural expertises. From December 2013 until March 2014 I worked as a systems engineer for Train Control and Management Systems (TCMS) at the Voith GmbH in Berlin. Then I worked as a control systems engineer for aeroplanes at the a+i engineering GbR until July 2014. Since October 2014 I have been working towards my PhD thesis in the Control Systems Group headed by Prof. Jörg Raisch at TU Berlin. In this period I was employed as a research assistant from October 2014 until December 2018. From mid of January 2019 until mid of July 2019 I received a six-month scholarship of the Verein zur Förderung des Fachgebietes Regelungssysteme an der Technischen Universität Berlin e.V. to continue my research. I submitted my PhD thesis in December 2020, successfully defended it in June 2021 and I am now in the process of publishing it to receive the title as a Dr.-Ing.


© Michael Gromotka (lichtbildrausch.de)

My main research interest is in the field of feedback controlled neuro-prosthetic systems for biomedical engineering applications. My focus, due to my work at the innovation cluster BeMobil is on motion feedback control strategies applied to the upper limb extremities using Functional Electrical Stimulation (FES) combined with a robotic-assisted therapy device.


Journal Articles

A. Passon, T. Schauer, T. Seel. Inertial-Robotic Motion Tracking in End-Effector-based Rehabilitation Robots. Frontiers in Robotics and AI, 7 2020.

Conference Proceedings

A. Passon, T. Seel, J. Massmann, C. Freeman, T. Schauer. Iterative learning vector field for FES-supported cyclic upper limb movements in combination with robotic weight compensation. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.

A. Passon, T. Schauer, T. Seel. Hybrid Inertial-Robotic Motion Tracking for Upper Limb Rehabilitation with Posture Biofeedback. In IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pages 1163–1168, Enschede, The Netherlands, 2018.
A. Passon, T. Klewe, T. Seel, T. Schauer. A New Approach for a Patient-Cooperative Upper Limb FES Support Based on Vector Fields. In Proc. of the 20th IFAC World Congress, volume 50 pages 9954 – 9960, Toulouse, France, 2017.
M. Martens, A. Passon, I. Boblan. A sensor-less approach of a torque controller for pneumatic muscle actuator driven joints. In Proc. of the 3rd International Conference on Control, Automation and Robotics (ICCAR), Nagoya, Japan, 2017.
P. Meyer-Rachner, A. Passon, C. Klauer, T. Schauer. Compensating the effects of FES-induced muscle fatigue by rehabilitation robotics during arm weight support. Current Directions in Biomedical Engineering, 3 (1):31, 2017.
S. Knuth, A. Passon, F. Dähne, A. Niedeggen, I. Schmehl, T. Schauer. Adaptive Arm Weight Support Using a Cable-Driven Robotic System. Converging Clinical and Engineering Research on Neurorehabilitation II: Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain, pages 1317–1321, 2017.
A. Passon, F. Dähne, A. Niedeggen, I. Schmehl, T. Schauer. Hybride Bewegungsunterstützung des Arms und der Hand durch FES und Robotik-basierte adaptive Gewichtsentlastung. In Workshop AUTOMED, Wismar, Germany, 2016.
Klauer, C., Passon, A., Raisch, J., Schauer, T.. Virtual Weight-Compensating Exoskeleton using λ-Controlled FES. In Proc. of Automed 2013, Dresden, Germany, 2013.

Supervised Theses

Konstantina Kolovou-Kouri. Analysis and Validation of an Iterative Learning Vector Field for FES-supported Cyclic Upper Limb Movements. Master Thesis, TU Berlin, Germany, 2019.
Felix Saalfrank. Analyse einer Robotik-basierten adaptiven Gewichtsentlastung von mehrdimensionalen Armbewegungen. Bachelor Thesis, TU Berlin, Germany, 2019.
Michael Sohandjaja. Adaptive Support for 3D Arm Movements by Combining Functional Electrical Stimulation and a Rehabilitation Robotics. Master Thesis, TU Berlin, Germany, 2017.
Paul Meyer- Rachner. Adaptive Weight Support for the Upper Limb by combining Functional Electrical Stimulation and a Rehabilitation Robotics. Bachelor Thesis, TU Berlin, Germany, 2017.
Jonas Massmann. Regelung einer FES-unterstützten horizontalen Armbewegung: Eine Simulationsstudie. Bachelor Thesis, TU Berlin, Germany, 2017.
Tim Klewe. Lernende Unterstützung von Armbewegungen mittels Robotik und geregelter Kokontraktion durch Elektrostimulation. Master Thesis, TU Berlin, Germany, 2016.
Sven Christian Knuth. Adaptive control of upper-limb weight support for a cable-driven rehabilitation robot. Master Thesis, TU Berlin, Germany, 2016.

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