most citedDeep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

41 citations · 44 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2020

Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning

Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro +3

Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms. Th…

cs.CV2020

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…

cs.RO2020

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…

cs.AI2020★ 41 cited

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…

cs.CV2020

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão +3

Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path p…

cs.CV2020★ 2 cited

FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation

Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra +2

Although secular, handwritten signature is one of the most reliable biometric methods used by most countries. In the last ten years, the application of technology for verification…