Michele Arcangelo Mandolino

Ph.D. Student

Ph.D. Advisor: Jun.-Prof. Gianluca Rizzello

Address:
c/o ZeMA - Zentrum für Mechatronik und Automatisierungstechnik gGmbH
Eschberger Weg 46, Gewerbepark Gebäude 9
66121 Saarbrücken
Germany

Mail: michele.mandolino(at)uni-saarland.de 

Telephone: +49 (0)681-302-71363

 

Education

  • 2018 - Master's Degree in Automation and Control Engineering, Polytechnic University of Bari, Bari, Italy
  • 2015 - Bachelor's Degree in Computer Science and Automation Engineering, Polytechnic University of Bari, Bari, Italy

Research

Research Project

  • Development, modeling, and control of shape memory alloys based robotic systems

Research Interests

  • Hybrid Nonlinear Modeling
  • Model-based Control Algorithms
  • Shape Memory Alloys
  • Continuum Robotics

Teaching

Teaching Assistant

  • Winter Semester 2022/23 - Support to the tutorials of ASIM 3
  • Winter Semester 2021/22 - Support to the tutorials of ASIM 3
  • Winter Semester 2020/21 - Support to the tutorials of ASIM 3

Scientific Publications

Peer-Reviewed Journal Papers

  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, vol. 28, no. 5, pp. 2529-2540, Oct. 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).

International Conference Proceedings

  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, p. V001T06A011 (DOI: 10.1115/SMASIS2023-111253).
  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, pp. 7784-7789 (DOI: 10.1016/j.ifacol.2023.10.1186).
  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).