About

Alberto Olivares‐Alarcos is a leading researcher in robotics and automation, specializing in the development of formal ontologies to enhance robot autonomy, collaboration, and adaptability. His major contributions center on creating standardized knowledge frameworks that enable robots to understand, share, and reason about information in complex environments. He has been instrumental in the IEEE Ontologies for Robotics and Automation (ORA) Working Group, contributing to foundational standards like the Autonomous Robotics (AuR) Ontology (IEEE 1872.2), which provides a common vocabulary for the field. His highly cited work, "A review and comparison of ontology-based approaches to robot autonomy" (120 citations), offers a comprehensive analysis of how ontologies can reduce programming effort for autonomous systems. Olivares‐Alarcos has also advanced human-robot collaboration, developing the OCRA ontology for collaborative robotics and using recurrent neural networks to infer human intentions in shared industrial tasks. His research on cloud robotics information sharing and modular robot design further demonstrates his impact, with over 300 total citations. Through these efforts, he is shaping the future of trustworthy, adaptive robots that can work seamlessly alongside humans.

Research Focus

Key Achievements

8
H-Index
14
Papers
329
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
A review and comparison of ontology-based approaches to robot autonomy
120 citations · 2019
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Institut de Robòtica i Informàtica Industrial, All-Russian Scientific Research Institute of Technical Physics, Consejo Superior de Investigaciones Científicas, Universitat Politècnica de Catalunya

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago