Papers

3

Total Citations

20

H-Index

3

About

Nelson L. Duarte Filho is a robotics researcher whose work bridges industrial automation and intelligent human-robot collaboration. His primary research areas include robotic welding automation, computer vision for manufacturing, multi-robot path planning, and human-robot interaction (HRI) in industrial settings. Duarte Filho’s most impactful contribution is an automated seam tracking system using passive monocular vision for linear robotic welding, published in 2017 and cited 9 times—a foundational work for shipbuilding and other heavy industries seeking precision without expensive sensors. He further advanced HRI in welding by designing situational awareness-oriented interfaces (2020, 8 citations), enhancing safety and efficiency for factory workers interacting with complex robotic systems. Earlier, he developed “Space D*” (2012), a novel path-planning algorithm combining D* graph search with space colonization for multi-robot navigation in unknown environments, demonstrating creative cross-domain thinking. While his citation counts reflect a focused, applied research trajectory, his work has direct industrial relevance, particularly for automated manufacturing and collaborative robotics. Duarte Filho’s research is notable for its practical orientation—solving real-world welding challenges while pushing the boundaries of how humans and robots work together safely and effectively.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Automated seam tracking system based on passive monocular vision for automated linear robotic welding process
9 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Rio Grande and Rio Grande Community College, Universidade Federal do Rio Grande

Top Papers

  1. 1
  2. 2
  3. 3
    Space D*
    3 citations · 2012

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago