Papers

1

Total Citations

6

H-Index

1

About

Rafael S. Chaves is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on multi-robot collaboration, computer vision, and renewable energy infrastructure inspection. His most notable contribution is the development of a novel framework for collaborative inspection of solar panel farms, integrating Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). In this work, Chaves equipped a UGV with a YOLOv5-based computer vision system for real-time cable detection, enabling seamless coordination between ground and aerial robots to automate solar farm maintenance. This pioneering approach has already garnered 6 citations since its 2025 publication, reflecting its immediate relevance to the growing field of sustainable energy automation. Chaves’ research addresses critical challenges in infrastructure monitoring, combining deep learning with multi-agent systems to enhance efficiency and safety. His work stands out for its practical application, bridging the gap between theoretical robotics and real-world energy sector needs. As the demand for renewable energy inspection solutions rises, Chaves’ contributions position him as an emerging authority in autonomous systems for environmental monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Inspection of Solar Panel Farms Using YOLOv5-Based Computer Vision and UGV-UAV Integration
6 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Federal Center for Technological Education Celso Suckow da Fonseca

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago