Papers

2

Total Citations

15

H-Index

2

About

Emanuel Estrada is a robotics researcher whose work focuses on the development of autonomous systems for critical infrastructure inspection, particularly within the challenging domain of underground energy distribution. His primary research areas include mobile robotics, sensor integration, and autonomous navigation for confined and hazardous environments. Estrada’s major contribution is the creation of an innovative, low-cost robotic system for inspecting underground electrical cable systems, as detailed in his most-cited paper, "TATUBOT – Robotic System for Inspection of Underground Cable System" (2008, 10 citations). This system integrates infrared, acoustic, and electric field sensors to detect faults in buried power lines, offering a safer and more efficient alternative to manual inspection. Building on this, his work on "Autonomous navigation for underground energy line inspection robot" (2010, 5 citations) proposes a sophisticated navigation architecture that uses edge detection for feature extraction, enabling the robot to move autonomously through pipes and conduits. While his citation counts reflect a specialized niche, Estrada’s contributions are notable for their practical application in enhancing the reliability and safety of underground energy grids, demonstrating a clear impact on the field of field robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
TATUBOT – Robotic System for Inspection of Undergrounded Cable System
10 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Rio Grande and Rio Grande Community College

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago