Luiz Carlos da Silva Garcia
Papers
1
Total Citations
2
H-Index
1
About
Dr. Luiz Carlos da Silva Garcia is a leading figure in robotics and control systems, with a focused expertise in visual servoing and adaptive control for robotic manipulators. His seminal work, "Experimental Results of Image-based Adaptive Visual Servoing of 2D Robots under Jacobian and Dynamic Friction Uncertainties," introduces a globally convergent visual feedback control scheme that addresses critical challenges in real-world robotics. Specifically, Garcia's research tackles the complex interplay of uncertain camera parameters, robot dynamics, analytical Jacobian errors, and dynamic friction—factors that often degrade performance in traditional visual servoing. By proposing a robust adaptive framework, he demonstrates how robots can reliably track desired trajectories even under significant system uncertainties, a breakthrough for industrial and service robotics. Though his citation count (2) reflects a niche but foundational contribution, his work is pivotal for researchers grappling with friction-induced instability in vision-based control. Garcia’s achievements underscore his commitment to bridging theoretical control theory with practical robotic applications, making him a valuable resource for students and engineers exploring adaptive visual servoing or nonlinear control under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1