Marcelo R. Rosales

University of Southern California, The Ohio State University

Papers

6

Total Citations

49

H-Index

3

About

Marcelo R. Rosales is pioneering the intersection of developmental robotics and early intervention, with a focused research agenda on using socially assistive robots to enhance infant motor learning. His core contributions lie in designing noncontact, adaptive robotic systems that leverage contingent reward learning and imitation to encourage leg-motion training in infants aged 6 to 9 months. Rosales’s foundational 2019 work, “Socially Assistive Infant-Robot Interaction,” which has garnered 35 citations, established a validated paradigm for using humanoid robots to positively influence neurodevelopmental outcomes. His subsequent studies have explored how robot feedback can reinforce leg movement acceleration (2021) and how infants display anticipatory gaze during motor contingency tasks (2025), deepening our understanding of the cognitive-motor link in early development. By demonstrating that robotic feedback can shape infant behavior and visual attention, Rosales is laying critical groundwork for scalable, technology-driven early interventions for developmental disabilities. His work, published in venues like IEEE conferences, represents a novel fusion of robotics, developmental psychology, and rehabilitation engineering, offering a promising path toward improving motor outcomes for at-risk infants.

Research Focus

Key Achievements

3
H-Index
6
Papers
49
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Socially Assistive Infant-Robot Interaction: Using Robots to Encourage Infant Leg-Motion Training
35 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Southern California, The Ohio State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago