Papers

3

Total Citations

14

H-Index

2

About

Alfonso Dominguez is a robotics researcher whose work bridges the critical gap between laboratory-controlled experiments and real-world deployment, with a particular focus on bipedal locomotion and construction automation. His most impactful contribution, "Making Bipedal Robot Experiments Reproducible and Comparable: The Eurobench Software Approach" (2022, 9 citations), established a standardized software framework for benchmarking bipedal systems—a foundational step toward making legged robot research truly scientific and comparable across labs. This work, part of the European Eurobench project, provides a methodology for computing performance indicators from experimental data, addressing a long-standing reproducibility crisis in the field. Dominguez further contributed to standardizing the field's vocabulary with "Towards a Unified Terminology for Benchmarking Bipedal Systems" (2021). His recent work, "Task Automation in Construction Sites: Robot Learning from Teleoperated Demonstrations" (2024, 2 citations), tackles the formidable challenge of deploying robots in unstructured construction environments, demonstrating how learning from demonstration can enable task automation where traditional programming fails. Through these contributions, Dominguez is shaping how the robotics community evaluates, compares, and ultimately deploys autonomous systems in the real world.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Making Bipedal Robot Experiments Reproducible and Comparable: The Eurobench Software Approach
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Tecnalia, Association of Electronic and Information Technologies

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago