TY  - GEN 
AU  - Jimenez-Perera, Gabriel
AU  - Valencia Vidal, Brayan
AU  - Luque Sola, Niceto Rafael
AU  - Ros Vidal, Eduardo
AU  - Barranco Expósito, Francisco
PY  - 2025
UR  - https://hdl.handle.net/10481/106390
AB  - Access to real-world data in robotics domains is often challenging due to restrictions on data sharing and limited availability. Although privacy and intellectual property concerns are the main barriers, ensuring data access is crucial for advancing...
LA  - eng
KW  - Collaborative robots
KW  - Robots
KW  - Data models
KW  - Training
KW  - Intellectual property
KW  - Federated learning
KW  - Trajectory
KW  - Servers
KW  - Distributed databases
KW  - Data privacy
KW  - Deep learning methods
KW  - Data sets for robot learning
TI  - Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model
DO  - 10.1109/LRA.2025.3608659
ER  -