Wagner Garcia
Papers
1
Total Citations
3
H-Index
1
About
Wagner Garcia is a robotics researcher whose work centers on autonomous aerial systems, computer vision, and intelligent decision-making for unmanned aerial vehicles (UAVs). His major contributions lie in developing practical, vision-based approaches for complex multi-task operations, particularly in environments with strict energy constraints. His most-cited paper, "Vision-based K-Nearest Neighbor Approach for Multiple Search and Landing with Energy Constraints" (2023), addresses a core challenge in the Flying Robot Trial League (FRTL) of RoboCup Brazil—enabling drones to autonomously search for and land on designated targets while managing limited battery life. This work has garnered 3 citations and showcases his ability to integrate machine learning with real-world robotics constraints. Garcia’s research is notable for its direct application to industrial challenges, pushing the boundaries of how flying robots can operate independently in dynamic settings. His involvement in the RoboCup Brazil FRTL highlights his commitment to advancing competitive, benchmark-driven robotics, making his work a valuable reference for students and researchers interested in autonomous navigation, energy-aware planning, and vision-guided UAV control.
Research Focus
Key Achievements
Top Papers
- 1