Wissenschaftliche Mitarbeiter
M.Sc. Fernando Diaz Ledezma
Technische Universität München
Lehrstuhl für Robotik und Systemintelligenz (Prof. Haddadin)
Postadresse
Postal:
Georg-Brauchle-Ring 60_62
80992 München
- Tel.: +49 (89) 289 - 29409
- fernando.diaz@tum.de
- 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
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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