134 citations · 166 across the 7 of their papers we have counts for
7 papers
Incremental procedural and sensorimotor learning in cognitive humanoid robots
Leonardo de Lellis Rossi, Leticia Mara Berto, Eric Rohmer +4
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves…
Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots
Letícia Berto, Paula Costa, Alexandre Simões +2
Humans have needs motivating their behavior according to intensity and context. However, we also create preferences associated with each action's perceived pleasure, which is susce…
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
Hudson M. S. Bruno, Esther L. Colombini
The Simultaneous Localization and Mapping (SLAM) problem addresses the possibility of a robot to localize itself in an unknown environment and simultaneously build a consistent map…
Attention, please! A survey of Neural Attention Models in Deep Learning
Alana de Santana Correia, Esther Luna Colombini
In humans, Attention is a core property of all perceptual and cognitive operations. Given our limited ability to process competing sources, attention mechanisms select, modulate, a…
#PraCegoVer: A Large Dataset for Image Captioning in Portuguese
Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila
Automatically describing images using natural sentences is an important task to support visually impaired people's inclusion onto the Internet. It is still a big challenge that req…
Using Soft Actor-Critic for Low-Level UAV Control
Gabriel Moraes Barros, Esther Luna Colombini
Unmanned Aerial Vehicles (UAVs), or drones, have recently been used in several civil application domains from organ delivery to remote locations to wireless network coverage. These…
Top-down and Bottom-up Feature Combination for Multi-sensor Attentive Robots
Esther L. Colombini, Alexandre S. Simões, Carlos H. C. Ribeiro
The information available to robots in real tasks is widely distributed both in time and space, requiring the agent to search for relevant data. In humans, that face the same probl…