Fast Convolutional Neural Network for Real-Time Robotic Grasp Detection. - Eduardo Godinho Ribeiro; Valdir Grassi Jr. (ICAR, 2019)

Depth Completion with Morphological Operations: An Intermediate Approach to Enhance Monocular Depth Estimation. - Raul de Queiroz Mendes; Eduardo Godinho Ribeiro; Nicolas dos Santos Rosa; Valdir Grassi Jr. (LARS/SBR/WRE, 2020)

Bayesian Optimization for Efficient Tuning of Visual Servo and Computed Torque Controllers in a Reinforcement Learning Scenario. - Eduardo Godinho Ribeiro; Raul de Queiroz Mendes; Marco H. Terra; Valdir Grassi Jr. (ICAR, 2021)

On deep learning techniques to boost monocular depth estimation for autonomous navigation. - Raul de Queiroz Mendes; Eduardo Godinho Ribeiro; Nicolas dos Santos Rosa; Valdir Grassi Jr. (Robotics Auton. Syst., 2021)

Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation. - Eduardo Godinho Ribeiro; Raul de Queiroz Mendes; Valdir Grassi Jr. (Robotics Auton. Syst., 2021)

Dynamic Parameter Identification of a 7-DoF Lightweight Robot Manipulator Using Probabilistic Differential Optimization. - Eduardo Godinho Ribeiro; Raul de Queiroz Mendes; Marco H. Terra; Valdir Grassi Jr. (SMC, 2022)

Second-Order Position-Based Visual Servoing of a Robot Manipulator. - Eduardo Godinho Ribeiro; Raul de Queiroz Mendes; Marco H. Terra; Valdir Grassi Jr. (IEEE Robotics Autom. Lett., 2024)