Infant Motion Interventions
Limited options are available for young children who require motion interventions. We view assistive robots as a key opportunity for improvement in this space. This work is funded by the NSF National Robotics Initiative (CMMI-2024950) and the Caplan Foundation.
Problem
As improvements in medicine lower infant mortality rates, more infants with neuromotor challenges survive past birth. The motor, social, and cognitive development of these infants are closely interrelated, and challenges in any of these areas can lead to developmental differences. At the same time, early motor interventions are often highly limited or postponed until a later age.
Solution
The combination of socially assistive robotics and infant tendencies including contingency learning and imitation opens up possibilities for early interventions during which robots can model desired infant behavior and/or reward the practice of these behaviors. This concept can apply in seated and mobile interventions for children with a variety of needs. Robots show promise for extending the abilities of intervention specialists; by designing robot interventions with experts from physical therapy, health science, kinesiology, and other areas, we can create scalable and appropriate interventions with the potential to lower the cost and raise the availability of early targeted motor practice.
People
- Ameer Helmi (PhD Student)
- Christine Zhan (Undergraduate Researcher)
- Misael Torres (Undergraduate Researcher)
Publications
- Ameer Helmi and Naomi T. Fitter, "Lights, camera, action! Evaluating robot reward behaviors in free play with children," Proceedings of the Interdisciplinary Research Methods for Child-Robot Relationship Formation Workshop, ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boulder, CO, USA, 2021. [BibTeX] [PDF]
- Ameer Helmi and Naomi T. Fitter, "Using motion expert feedback to design models for infant-robot interaction," Proceedings of the 2020 ICSR Workshop on Child-Robot Interaction, International Conference on Social Robotics (ICSR), Golden, CO, USA, 2020. [BibTeX] [PDF]
- Naomi T. Fitter, Rebecca Funke, José Carlos Pulido, Maja J. Matarić, and Beth A. Smith, "Toward predicting infant developmental outcomes from day-long inertial motion recordings," Transactions on Neural Systems and Rehabilitation Engineering, 2020. [BibTeX] [PDF]
- Naomi T. Fitter, Rebecca Funke, José Carlos Pulido, Lauren Eisenman, Weiyang Deng, Marcelo R. Rosales, Nina S. Bradley, Barbara Sargent, Beth A. Smith, and Maja J. Matarić, "Socially assistive infant-robot interaction: Using robots to encourage infant leg-motion," Robotics and Automation Magazine (RAM), 2019. [BibTeX] [PDF]
- Rebecca Funke, Naomi T. Fitter, Joyce T. de Armendi, Nina S. Bradley, Barbara Sargent, Maja J. Matarić, and Beth A. Smith, "A data collection of infants’ visual, physical, and behavioral reactions to a small humanoid robot," Proceedings of the IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), Genova, Italy, 2018. [BibTeX] [PDF]