About Us


Project One is a National Science Foundation funded project to develop a humanoid robot whose sensors and actuators approximate the levels of complexity of human infants. The goal is for this robot to learn and develop autonomously a key set of sensory-motor and communicative skills typical of 1 year old infants.  The project will be grounded in developmental research with human infants, using motion capture and computer vision technology to characterize the statistics of early physical and social interaction.

The goal is to gain a better scientific understanding of the computational problems faced by infants when interacting with the physical and social world, and of the solutions they find to these problems. We aim at making progress on computational problems that elude the most sophisticated computers and Artificial Intelligence approaches but that infants solve seamlessly during their first year of life. Our goal is to foster the conceptual shifts needed to rigorously think, explore, and formalize intelligent architectures that learn and develop autonomously by interaction with the physical and social worlds.  

Principal Investigators:

  • Javier R. Movellan (UCSD)
  • Daniel Messinger (U of Miami).

Co-Principal Investigators:

  • Emanuel Todorov (UCSD)
  • Virginia de Sa (UCSD)
  • Marian Stewart Bartlett (UCSD)


  • Minoru Asada (Osaka U)
  • Cynthia Breazeal (MIT)
  • Daniela Corbetta (U of Tennessee)
  • Hiroshi Ishiguro (Osaka U)
  • Ian Fasel (U of Arizona)
  • Terrence Sejnowski (Salk Institute and UCSD)
  • John Watson (UC Berkeley)

Project Code: NSF IIS-INT2-Large 0808767.