Alba Medrano

Instituto Tecnológico Autónomo de México

Papers

1

Total Citations

24

H-Index

1

About

Alba Medrano is a pioneering researcher at the intersection of human-robot interaction and social cognition. Her work focuses on how humans can intuitively command, interrogate, and teach robots through natural social interaction—a field she helped define. In her highly influential 2006 paper, "Robot command, interrogation and teaching via social interaction" (24 citations), she demonstrated that high-performance humanoid robots require more than just technical sophistication; they demand deep, meaningful communication channels grounded in spoken language technology and theories of social cognition. This foundational research laid the groundwork for robots that can learn from human instruction, ask clarifying questions, and adapt their behavior through social cues. Medrano’s contributions have been instrumental in shifting robotics from purely functional tools toward socially intelligent companions. Her work continues to inspire new generations of researchers exploring how machines can understand and participate in human social dynamics, making her a key figure in the evolution of interactive robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robot command, interrogation and teaching via social interaction
24 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Instituto Tecnológico Autónomo de México

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago