Pedro H.M. Santana

Papers

Total Citations

H-Index

About

Pedro H.M. Santana is a robotics researcher whose work centers on legged locomotion, specifically the design and control of quadruped platforms. His most-cited paper, "Walking Pattern Design and Balance Control of a Quadruped Platform" (2018), demonstrates a novel approach to generating optimized gaits using Multi-Objective Genetic Algorithms. By implementing these gaits on both a real quadruped robot and in a V-Rep simulation environment, Santana bridges the gap between theoretical optimization and practical robotic control. His contributions address the critical challenge of balance in dynamic walking, integrating gait generation with real-time stability control. While his citation count (4 for this paper) reflects a focused, early-career impact, the work provides a foundational methodology for researchers exploring evolutionary algorithms in robotics. Santana’s research is particularly relevant for students and engineers working on bio-inspired locomotion, offering a clear pipeline from simulation to hardware deployment. His approach exemplifies how multi-objective optimization can yield efficient, stable gaits for complex robotic systems.