Assis T. de Oliveira Filho

About

Assis T. de Oliveira Filho is a leading researcher in intelligent robotics and human-robot collaboration (HRC), with a specific focus on industrial safety systems. His work addresses the critical challenge of enabling safe, seamless interaction between humans and robots in manufacturing environments. Oliveira Filho’s major contributions lie in developing deep and machine learning-based frameworks for real-time collision detection and prevention. His 2021 paper, "Modeling and assessing an intelligent system for safety in human-robot collaboration," has garnered 15 citations, while his companion study on a novel collision detection mechanism using deep learning has received 13 citations. He also introduced HOSA, an end-to-end safety system for human-robot interaction (10 citations), and a framework for robotic arm pose estimation and movement prediction using extreme learning models (13 citations). Collectively, his work—spanning from 2020 to 2022—has accumulated over 57 citations, establishing him as a key voice in the field. Oliveira Filho’s research is particularly notable for its practical focus on industrial environments, offering scalable, AI-driven solutions that enhance worker safety without compromising productivity.

Research Focus

Key Achievements

Top Papers

1. 1
   Modeling and assessing an intelligent system for safety in human-robot collaboration using deep and machine learning techniques

   15 citations · 2021
2. 2
   A New Mechanism for Collision Detection in Human–Robot Collaboration using Deep Learning Techniques

   13 citations · 2021
3. 3
   A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models

   13 citations · 2022
4. 4
   HOSA: An End-to-End Safety System for Human-Robot Interaction

   10 citations · 2022
5. 5
   Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments

   6 citations · 2020

Key Collaborators

Contact & Links