Papers

3

Total Citations

18

H-Index

2

About

Ricardo Cruz is a researcher focused on advancing human-robot interaction (HRI) and cognitive architectures for service and medical robotics. His most cited work introduces a modular software architecture for collaborative HRI, demonstrated through the InterBot mobile robot, which integrates multiple human-machine interfaces for seamless interaction. This foundational paper has garnered 13 citations, highlighting its influence on designing flexible, user-centered robotic systems. Cruz further explores the integration of opportunistic inference and emotion recognition into service robots, proposing a cognitive architecture that coordinates perception, inference, and action to enhance communication and adaptability. In response to the COVID-19 pandemic, he contributed timely considerations for designing medical robots, addressing the urgent need for robotic solutions in healthcare settings. His work bridges software engineering, cognitive modeling, and practical robotics, with a clear emphasis on creating robots that can operate intelligently and empathetically in human environments. Cruz’s research is particularly relevant for students and engineers interested in building socially aware, modular, and emotionally intelligent robots for real-world applications.

Research Focus

Key Achievements

2
H-Index
3
Papers
18
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Modular software architecture for human-robot interaction applied to the InterBot mobile robot
13 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Coimbra, Universidad Nacional Autónoma de México

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago