Wissenschaftliche Mitarbeiter

Foto von Fernando Diaz Ledezma

M.Sc. Fernando Diaz Ledezma

Technische Universität München

Lehrstuhl für Robotik und Systemintelligenz (Prof. Haddadin)


Georg-Brauchle-Ring 60_62
80992 München

  • 2018 to present: Research Assistant, Munich School of Robotics and Machine Intelligence, TUM
  • 2012 to 2015: Petroleum Engineer, Saudi Aramco, Saudi Arabia
  • 2014 to 2014: Research Engineer, Saudi Aramco R&D Center, Saudi Arabia

  • Ph.D. Student, Technische Universität München, München, Germany
  • Master of Science (M.S.) in Mechanical Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • Bachelor of Science (B.S.) in Mechatronics Engineering, Tecnológico de Monterrey, Mexico City, Mexico

  1. Diaz Ledezma, F., & Haddadin, S. (2021). RIL: Riemannian Incremental Learning of the Inertial Properties of the Robot Body Schema. To appear in Proc. 2021 IEEE International Conference on Robotics and Automation. IEEE, 2021.
  2. Haddadin, S., Johannsmeier, L., & Diaz Ledezma, F. (2019). Tactile Robots as a Central Embodiment of the Tactile Internet. Proceedings of the IEEE, 107(2), 471-487. DOI: 10.1109/JPROC.2018.2879870
  3. Diaz Ledezma, F., & Haddadin, S. (2018, November). FOP Networks for Learning Humanoid Body Schema and Dynamics. In 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids) (pp. 1-9). IEEE. DOI: 10.1109/HUMANOIDS.2018.8625033
  4. Diaz Ledezma, F., & Haddadin, S. (2017, November). First-order-principles-based constructive network topologies: An application to robot inverse dynamics. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) (pp. 438-445). IEEE. DOI: 10.1109/HUMANOIDS.2017.8246910
  5. Diaz Ledezma, F., & Laleg-Kirati, T. M. (2015, July). A first approach on fault detection and isolation for cardiovascular anomalies detection. In 2015 American Control Conference (ACC) (pp. 5788-5793). IEEE. DOI: 10.1109/ACC.2015.7172246
  6. Diaz Ledezma, F., Amer, A., Abdellatif, F., Outa, A., Trigui, H., Patel, S., & Binyahib, R. (2015, June). A Market Survey of Offshore Underwater Robotic Inspection Technologies for the Oil and Gas Industry. In SPE Saudi Arabia Section Annual Technical Symposium and Exhibition. Society of Petroleum Engineers. DOI: 10.2118/177989-MS
  7. Laleg-Kirati, T. M., Belkhatir, Z., & Diaz Ledezma, F. (2015). Application of Hybrid Dynamical Theory to the Cardiovascular System. In Hybrid Dynamical Systems (pp. 315-328). Springer, Cham. DOI: 10.1007/978-3-319-10795-0_13
  8. Diaz Ledezma, F. (2012). Detection of Cardiovascular Anomalies: An Observer-Based Approach. M.Sc. thesis. King Abdullah University of Science and Technology Thesis and Dissertations Repository. DOI: 10.25781/KAUST-1HF70
  9. Diaz Ledezma, F., & Laleg-Kirati, T. M. (2012). Detection of cardiovascular anomalies: Hybrid systems approach. IFAC Proceedings Volumes, 45(9), 222-227. DOI: 10.3182/20120606-3-NL-3011.00059

  • Control of mechanical systems
  • Embodied systems
  • Learning algorithms for robots