41 citations · 70 across the 3 of their papers we have counts for
5 papers
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
Angel Ayala, Francisco Cruz, Bruno Fernandes +1
Explainable reinforcement learning allows artificial agents to explain their behavior in a human-like manner aiming at non-expert end-users. An efficient alternative of creating ex…
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition
Ruben Contreras, Angel Ayala, Francisco Cruz
Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and reaching out to many areas of society, including the industrialized world. A common altern…
KutralNet: A Portable Deep Learning Model for Fire Recognition
Angel Ayala, Bruno Fernandes, Francisco Cruz +3
Most of the automatic fire alarm systems detect the fire presence through sensors like thermal, smoke, or flame. One of the new approaches to the problem is the use of images to pe…
A Comparison of Humanoid Robot Simulators: A Quantitative Approach
Angel Ayala, Francisco Cruz, Diego Campos +3
Research on humanoid robotic systems involves a considerable amount of computational resources, not only for the involved design but also for its development and subsequent impleme…
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment
Ithan Moreira, Javier Rivas, Francisco Cruz +3
Robots are extending their presence in domestic environments every day, being more common to see them carrying out tasks in home scenarios. In the future, robots are expected to in…