Skip directly to content


On Learning Navigation Behaviors for Small Mobile Robots with Reservoir Computing Architectures Robot learning through dynamical systems (PhD thesis) Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Physics-Informed Neural Nets for Control of Dynamical Systems
ESN-PNMPC: Efficient data-driven model predictive control of unknown nonlinear processes Online recurrent neural network learning for control of nonlinear plants in oil and gas production platforms UTEMA (Unbiased Temporal Machine for General-purpose Times series-based Fraud detection)
Cognitive computation for Deviation detection in Fleet of City Buses Proxy dynamical models of offshore oil production platforms via recurrent neural networks Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing
Biologically-inspired robot localization (Place cells) Supervised Learning of Internal Models for Autonomous Goal-Oriented Robot Navigation using Reservoir Computing Delayed Response Tasks in Robot Control
Event detection and localization for small mobile robots using reservoir computing Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing Reinforcement learning of robot behaviors (Master thesis)