Douglas Eduardo Zampieri
Papers
7
Total Citations
139
H-Index
6
About
Douglas Eduardo Zampieri is a leading researcher in autonomous robotics, with a career spanning over two decades focused on enhancing the efficiency, stability, and intelligence of robotic systems. His core contributions lie at the intersection of real-time image processing, power management, and bipedal locomotion. Zampieri pioneered the use of Pearson’s Correlation Coefficient as a computational tool for autonomous platforms, demonstrating in his most-cited work (69 citations) how this statistical method can filter redundant visual data, significantly reducing the computational load for navigation. He further extended this concept to dynamic power management (19 citations), addressing a critical bottleneck in long-endurance missions by optimizing energy consumption beyond mere motion control. In the domain of legged robotics, Zampieri has made foundational contributions to biped walking, employing recurrent neural networks and the zero-moment point criterion to generate stable, dynamic gaits for humanoid machines. His work on nonlinear control for tracked robots with longitudinal slip (17 citations) showcases his versatility across diverse robotic platforms. Through his integrated control systems and state-of-the-art reviews, Zampieri has established himself as a key figure in advancing both the theoretical and practical frontiers of autonomous navigation and bipedal locomotion.
Research Focus
Key Achievements
Top Papers
- 1
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- 3A Nonlinear Control Design for Tracked Robots with Longitudinal Slip17 citations · 2011
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- 6An integrated control for a biped walking robot8 citations · 2006
- 7Biped Robots: The State of Art3 citations · 2007