Michele Arcangelo Mandolino

Ausbildung

• 2018 - Master-Abschluss in Automatisierungs- und Regelungstechnik, Polytechnikum Bari, Bari, Italien
• 2015 - Bachelor-Abschluss in Informatik und Automatisierungstechnik, Polytechnikum Bari, Bari, Italien

Forschung

Forschungsprojekt

• Entwicklung, Modellierung und Steuerung von Robotersystemen auf Basis von Formgedächtnislegierungen

Forschungsinteressen

• Hybride nichtlineare Modellierung
• Modellbasierte Regelalgorithmen
• Formgedächtnis-Legierungen
• Contimuum Robotics

Lehre

Lehrassistenz

• Wintersemester 2022/23 - Unterstützung der Übungen von ASIM 3
• Wintersemester 2021/22 - Unterstützung der Übungen von ASIM 3
• Wintersemester 2020/21 - Unterstützung der Übungen von ASIM 3

Wissenschaftliche Publikationen

Zeitschriften mit Peer-Review

1. M. A. Mandolino, D. Scholtes, F. Ferrante, and G. Rizzello, “A Physics-Based Hybrid Dynamical Model of Hysteresis in Polycrystalline Shape Memory Alloy Wire Transducers,” IEEE/ASME Transactions on Mechatronics, pp. 1-12, 2023 (DOI: 10.1109/TMECH.2023.3253250).
2. M. A. Mandolino, F. Ferrante, and G. Rizzello, “A Hybrid Dynamical Modeling Framework for Shape Memory Alloy Wire Actuated Structures,” IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 3886-3893, Apr. 2021 (DOI: 10.1109/LRA.2021.3067254).
3. G. Rizzello, M. A. Mandolino, M. Schmidt, D. Naso, and S. Seelecke, “An accurate dynamic model for polycrystalline shape memory alloy wire actuators and sensors,” Smart Materials and Structures, vol. 28, no. 2, Jan. 2019 (DOI: 10.1088/1361-665X/aae3b8).

Konferenzbeiträge

1. R. Barakat, Y. Goergen, R. Britz, M. Mandolino, G. Rizzello, and P. Motzki, “Comparative Review of Two Different Design Approaches for SMA Based Continuum Robots," in ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2023, pp. 1-5.
2. M. A. Mandolino, F. Ferrante, and G. Rizzello, “Hybrid Output Regulation of Hysteretic Actuators based on Single-Crystal Shape Memory Alloy Wires," in Proc. of 22th World Congress of the International Federation of Automatic Control, 2023, pp. 1-6.
3. Y. Goergen, R. Britz, M. Mandolino, G. Rizzello, and P. Motzki, “A Novel Compact Concept Design of an SMA Based Endoscope," in ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2022, p. V001T04A010 (DOI: 10.1115/SMASIS2022-90957).
4. R. Britz, M. Mandolino, Y. Goergen, G. Rizzello, and P. Motzki, “Development of a SMA driven articulation and autofocus mechanism for endoscope applications," in International Conference and Exhibition on New Actuator Systems and Applications ACTUATOR 22, 2022, pp. 1-4
5. M. A. Mandolino, Y. Goergen, P. Motzki, and G. Rizzello, “Design and Characterization of a Fully Integrated Continuum Robot Actuated by Shape Memory Alloy Wires,” in IEEE 17th International Workshop on Advanced Motion Control, 2022, pp. 6-11 (DOI: 10.1109/AMC51637.2022.9729267).
6. M. A. Mandolino, F. Ferrante, and G. Rizzello, “A Hybrid Dynamical Modeling Framework for Shape Memory Alloy Wire Actuated Structures,” in IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 1-7.
7. M. A. Mandolino, F. Welsch, S.-M. Kirsch, N. Michaelis, G. Rizzello, A. Schütze, and S. Seelecke, “Hybrid dynamical model for elastocaloric heating and cooling device based on Shape Memory Alloy wires," in 17th International Conference on New Actuators, 2021, pp. 1-4.
8. F. Welsch, S.-M. Kirsch, N. Michaelis, M. A. Mandolino, A. Schütze, S. Seelecke, P. Motzki, and G. Rizzello, “System Simulation of an Elastocaloric Heating and Cooling Device Based on SMA," in ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2020, p. V001T03A005 (DOI: 10.1115/SMASIS2020-2262).
9. M. A. Mandolino, F. Ferrante, and G. Rizzello, “A Hybrid Dynamical Model for Hysteretic Thermal Shape Memory Alloy Wire Actuators," in Proc. of 21th World Congress of the International Federation of Automatic Control, 2020, pp. 8923-8928 (DOI: 10.1016/j.ifacol.2020.12.1418).
10. G. Rizzello, M. Schmidt, S. Seelecke, M. A. Mandolino, and D. Naso, “Modeling and Simulation of a Valve System Actuated by Polycrystalline Shape Memory Alloy Wires," in IEEE 15th International Workshop on Advanced Motion Control, 2018, pp. 402-407 (DOI: 10.1109/AMC.2019.8371126).