6 citations · 9 across the 2 of their papers we have counts for
3 papers
Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships
Yeyson A. Becerra-Mora, José Ángel Acosta
Repetitive maritime operations can be effectively learned using the Imitation Learning (IL) paradigm, which transfers human expertise directly to Unmanned Surface Vehicle (USV) con…
Learning port maneuvers from data for automatic guidance of Unmanned Surface Vehicles
Yeyson A. Becerra-Mora, José Ángel Acosta, Ángel Rodríguez Castaño
At shipping ports, some repetitive maneuvering tasks such as entering/leaving port, transporting goods inside it or just making surveillance activities, can be efficiently and quic…
Robust data-driven learning and control of nonlinear systems. A Sontag's formula approach
Yeyson A. Becerra-Mora, José Ángel Acosta
An interlaced method to learn and control nonlinear system dynamics from a set of demonstrations is proposed, under a constrained optimization framework for the unsupervised learni…