Papers
3
Total Citations
17
H-Index
3
About
Tiago Gameiro is a robotics researcher focused on autonomous navigation and environmental management, with a particular emphasis on forestry and agricultural applications. His work addresses the critical challenge of deploying unmanned ground vehicles (UGVs) in unstructured, complex outdoor environments. Gameiro’s most cited paper, “Robots for Forest Maintenance” (2024, 8 citations), tackles the urgent issue of wildfire prevention through robotic vegetation management, proposing selective removal to create fuel breaks in increasingly dry, fire-prone landscapes. He has also made significant contributions to UGV control systems, as seen in “Evaluation of PID-Based Algorithms for UGVs” (2025, 6 citations), which systematically assesses navigation algorithms for rough terrain. Additionally, his development of a multi-sensor vision system integrating RGBD and thermal cameras (2024, 3 citations) enhances robot perception in low-visibility forest conditions. Though early in his career, Gameiro’s work is already gaining traction, with his research directly addressing global warming’s impacts by combining robotics with environmental stewardship. His achievements highlight a promising trajectory in field robotics, offering practical solutions for sustainable land management and autonomous systems in challenging natural settings.
Research Focus
Key Achievements
Top Papers
- 1Robots for Forest Maintenance8 citations · 2024
- 2Evaluation of PID-Based Algorithms for UGVs6 citations · 2025
- 3Vision System for a Forestry Navigation Machine3 citations · 2024