Paulo Jefferson Dias de Oliveira Evald
Universidade Federal do Rio Grande, Universidade Federal de Pelotas
Papers
8
Total Citations
40
H-Index
4
About
Paulo Jefferson Dias de Oliveira Evald is a researcher at the forefront of intelligent robotics and autonomous systems, with a focus on welding automation, underwater localization, and control theory. His work bridges the gap between classical control methods and modern AI-driven perception, addressing critical challenges in industrial and marine robotics. Evald’s most cited paper, “Automated seam tracking system based on passive monocular vision for automated linear robotic welding process” (12 citations), demonstrates his impact on improving productivity and safety in hazardous shipbuilding environments through vision-guided robotic welding. He has also made significant contributions to underwater robotics, including a survey on hybrid unmanned aerial-underwater vehicles and probabilistic localization methods using cross-domain acoustic and aerial images. His research on Kalman Filter-based localization and backlash compensation in robotic systems further showcases his expertise in estimation and control. With a growing body of work that integrates semantic segmentation, epistemic uncertainty estimation, and pole placement control, Evald is advancing the reliability and autonomy of robotic systems in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Backlash Robotic Systems Compensation by Inverse Model-Based PID Control6 citations · 2019
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- 6Underwater Robots Localization using Multi Domain Images: A Survey3 citations · 2025
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