Full four capacitor circuit compensation for inductive power transfer. - Ricardo de Azambuja; Valner Joao Brusamarello; Sergio Haffner; Rodrigo Wolff Porto (I2MTC, 2013)

Design and analysis of a GMR eddy current probe for NDT. - Rodrigo Wolff Porto; Valner João Brusamarello; Ricardo de Azambuja; O. Frison (ICST, 2013)

Power Transfer With an Inductive Link and Wireless Tuning. - Valner Joao Brusamarello; Yeddo Braga Blauth; Ricardo de Azambuja; Ivan Müller; Fernando Rangel de Sousa (IEEE Trans. Instrum. Meas., 2013)

Design and optimization of a power inductive link. - Rodrigo Wolff Porto; Valner João Brusamarello; Ivan Müller; Fernando Rangel de Sousa; Ricardo de Azambuja (I2MTC, 2014)

Analysis and Optimization of an Inductive Power Transfer With a Randomized Method. - Ricardo de Azambuja; Valner Joao Brusamarello; Sergio Haffner; Rodrigo Wolff Porto (IEEE Trans. Instrum. Meas., 2014)

A Physical Architecture for Studying Embodiment and Compliance: The GummiArm. - Martin F. Stoelen; Ricardo de Azambuja; Angelo Cangelosi; Fabio Bonsignorio (EUCognition, 2016)

Graceful Degradation Under Noise on Brain Inspired Robot Controllers. - Ricardo de Azambuja; Frederico B. Klein; Martin F. Stoelen; Samantha V. Adams; Angelo Cangelosi (ICONIP (1), 2016)

Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control. - Ricardo de Azambuja; Angelo Cangelosi; Samantha V. Adams (IJCNN, 2016)

Positioning control on a collaborative robot by sensor fusion with liquid state machines. - Davi Alberto Sala; Valner Joao Brusamarello; Ricardo de Azambuja; Angelo Cangelosi (I2MTC, 2017)

Neurorobotic simulations on the degradation of multiple column liquid state machines. - Ricardo de Azambuja; Daniel Hernández García; Martin F. Stoelen; Angelo Cangelosi (IJCNN, 2017)

Short-term plasticity in a liquid state machine biomimetic robot arm controller. - Ricardo de Azambuja; Frederico B. Klein; Samantha V. Adams; Martin F. Stoelen; Angelo Cangelosi (IJCNN, 2017)

Action learning experiments using spiking neural networks and humanoid robots. - Ricardo de Azambuja (2018)

Data-Efficient Decentralized Place Recognition with 3D Constellations of Objects: Extended Abstract. - Benjamin Ramtoula; Ricardo de Azambuja; Giovanni Beltrame (MRS, 2019)

Domain Generalization via Optical Flow: Training a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World. - Moritz Sperling; Yann Bouteiller; Ricardo de Azambuja; Giovanni Beltrame (CRV, 2020)

CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of Objects in Robot Networks. - Benjamin Ramtoula; Ricardo de Azambuja; Giovanni Beltrame (ICRA, 2020)

When Being Soft Makes You Tough: A Collision Resilient Quadcopter Inspired by Arthropod Exoskeletons. - Ricardo de Azambuja; Hassan Fouad; Giovanni Beltrame (CoRR, 2021)

A Flexible Exoskeleton for Collision Resilience. - Ricardo de Azambuja; Hassan Fouad; Giovanni Beltrame (CoRR, 2021)

When Being Soft Makes You Tough: A Collision-Resilient Quadcopter Inspired by Arthropods' Exoskeletons. - Ricardo de Azambuja; Hassan Fouad; Yann Bouteiller; Charles Sol; Giovanni Beltrame (ICRA, 2022)

The GummiArm Project: A Replicable and Variable-Stiffness Robot Arm for Experiments on Embodied AI. - Martin F. Stoelen; Ricardo de Azambuja; Beatriz López Rodríguez; Fabio Bonsignorio; Angelo Cangelosi (Frontiers Neurorobotics, 2022)

Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI). - Haechan Mark Bong; Rongge Zhang; Ricardo de Azambuja; Giovanni Beltrame (CoRR, 2023)

PEACE: Prompt Engineering Automation for CLIPSeg Enhancement in Aerial Robotics. - Haechan Mark Bong; Rongge Zhang; Ricardo de Azambuja; Giovanni Beltrame (CoRR, 2023)

BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation. - Haechan Mark Bong; Ricardo de Azambuja; Giovanni Beltrame (CoRR, 2024)