Papers

16

Total Citations

245

H-Index

10

About

David Herrero-Perez is a leading researcher in robotics and autonomous systems, with a career spanning humanoid locomotion, industrial automation, and soft robotics. His most influential work addresses the critical challenge of translating theoretically stable gaits into physically robust performance on real humanoid robots. His 2013 paper on ZMP-based feedback control for the Nao robot (50 citations) provides a practical solution to the "reality gap" that often plagues bipedal walking, ensuring dynamic balance on physical platforms. In parallel, Herrero-Perez has made significant contributions to flexible manufacturing, pioneering decentralized coordination strategies for Automated Guided Vehicles (AGVs) that enable collision-free, kinematics-aware motion in complex factory environments. His work on fuzzy logic for mobile robot localization—using natural features, wireless sensor networks, and intelligent spaces—has been foundational for robust positioning in uncertain environments. More recently, he has expanded into soft robotics, designing novel grippers for underwater grasping. With over 220 total citations across his top ten papers, Herrero-Perez’s research consistently bridges the gap between theoretical control and real-world deployment, making him a key figure in both service robotics and industrial automation.

Research Focus

Key Achievements

10
H-Index
16
Papers
245
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robust feedback control of ZMP-based gait for the humanoid robot Nao
50 citations · 2013
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universidad Politécnica de Cartagena, Universidad Carlos III de Madrid, Universidad de Murcia, University of Cartagena

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago