Gibson Barbosa

About

Gibson Barbosa is a researcher specializing in robotics, computer vision, and intelligent systems, with a particular focus on human-robot collaboration and edge computing applications. His work sits at the intersection of deep learning and practical robotics deployment, addressing critical challenges in industrial safety and constrained-device computation. Barbosa's most influential contribution, "FCN-Pose" (2022, 20 citations), demonstrates his commitment to making deep learning viable on resource-limited IoT devices by developing pruned and quantized neural networks for robot pose estimation — a technically demanding achievement that bridges the gap between computational efficiency and accuracy. Complementing this, his framework for robotic arm pose estimation using deep and extreme learning models further advances the field of robot motion prediction. A significant thread throughout his research is ensuring safety in human-robot collaborative environments. Works such as "HOSA" and his collision detection studies (collectively accumulating over 40 citations) reflect a sustained effort to develop end-to-end safety architectures for industrial settings. His gripper design research additionally highlights a hands-on, hardware-oriented dimension to his scholarship. With a growing citation record across multiple high-impact publications, Barbosa represents an emerging voice in applied robotics and intelligent safety systems.

Research Focus

Key Achievements

Top Papers

1. 1
   FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices

   20 citations · 2022
2. 2
   Modeling and assessing an intelligent system for safety in human-robot collaboration using deep and machine learning techniques

   15 citations · 2021
3. 3
   A New Mechanism for Collision Detection in Human–Robot Collaboration using Deep Learning Techniques

   13 citations · 2021
4. 4
   A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models

   13 citations · 2022
5. 5
   HOSA: An End-to-End Safety System for Human-Robot Interaction

   10 citations · 2022
6. 6
   Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments

   6 citations · 2020
7. 7
   Gripper Design for Radio Base Station Autonomous Maintenance System

   5 citations · 2021

Key Collaborators

Contact & Links