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Fernando Díaz Ledezma
Fernando Díaz Ledezma
Research Associate at the Munich Institute of Robotics and Machine Intelligence
Verified email at tum.de
Title
Cited by
Cited by
Year
Tactile robots as a central embodiment of the tactile internet
S Haddadin, L Johannsmeier, FD Ledezma
Proceedings of the IEEE 107 (2), 471-487, 2018
792018
First-order-principles-based constructive network topologies: An application to robot inverse dynamics
FD Ledezma, S Haddadin
2017 IEEE-RAS 17th international conference on humanoid robotics (Humanoids …, 2017
362017
A market survey of offshore underwater robotic inspection technologies for the oil and gas industry
FD Ledezma, A Amer, F Abdellatif, A Outa, H Trigui, S Patel, R Binyahib
SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2015
212015
A first approach on fault detection and isolation for cardiovascular anomalies detection
FD Ledezma, TM Laleg-Kirati
2015 American Control Conference (ACC), 5788-5793, 2015
62015
Detection of cardiovascular anomalies: Hybrid systems approach
FD Ledezma, TM Laleg-Kirati
IFAC Proceedings Volumes 45 (9), 222-227, 2012
52012
FOP networks for learning humanoid body schema and dynamics
FD Ledezma, S Haddadin
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 1-9, 2018
42018
Survey of underwater ndt technologies for offshore assets
A Amer, F Abdellatif, A Outa, H Trigui, S Patel, A Obedan, FD Ledezma, ...
Proceedings of 7th Middle East Nondestructive Testing Conference & Exhibition, 2015
42015
RIL: Riemannian Incremental Learning of the Inertial Properties of the Robot Body Schema
FD Ledezma, S Haddadin
2021 IEEE International Conference on Robotics and Automation (ICRA), 9354-9360, 2021
22021
Application of Hybrid Dynamical Theory to the Cardiovascular System
TM Laleg-Kirati, Z Belkhatir, FD Ledezma
Hybrid Dynamical Systems: Observation and Control, 315-328, 2015
12015
Detection of Cardiovascular Anomalies: An Observer-Based Approach
F Ledezma
12012
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