About

Jonas Queiroz is a leading researcher at the intersection of manufacturing, robotics, and digital transformation, with a primary focus on Industry 4.0 and Industry 5.0 paradigms. His work centers on integrating advanced technologies—particularly collaborative robotics, machine learning, and cyber-physical systems—to create smarter, more flexible, and human-centric industrial environments. Queiroz’s most impactful contribution is his pioneering work on machine learning for collaborative robot smart manufacturing inspection, a study with over 100 citations that addresses the critical need for zero-defect quality control in the fourth industrial revolution. He further advances the field by exploring the role of digital technologies in enhancing human integration within industrial cyber-physical systems, a challenge central to the emerging Industry 5.0 framework. His research demonstrates that humans remain the most adaptable element in automated systems, and his work provides practical pathways for seamless human-machine collaboration. Additionally, Queiroz contributes to workforce development through hands-on learning modules for upskilling in Industry 4.0 technologies, ensuring that the next generation of engineers and technicians can effectively implement these innovations. With a growing citation record and a focus on bridging technical advancement with human factors, Queiroz is shaping the future of intelligent, inclusive manufacturing.

Research Focus

Key Achievements

3
H-Index
3
Papers
148
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
A Machine Learning Approach for Collaborative Robot Smart Manufacturing Inspection for Quality Control Systems
100 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Polytechnic Institute of Bragança, Universidade Estadual Paulista (Unesp), Research Centre in Digitalization and Intelligent Robotics

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago