Ryo Saegusa

About

Ryo Saegusa is a robotics researcher whose work spans developmental robotics, sensorimotor learning, humanoid systems, and assistive robot technologies. He is best known for pioneering contributions to motor babbling-based sensorimotor learning, a biologically inspired approach that enables autonomous robots to construct internal models of their own bodies and environments through self-directed exploration. His highly cited work on active motor babbling (73 citations) and its extension through state-confidence-based active learning laid important groundwork for efficient robotic self-modeling. Saegusa's research on the humanoid robot iCub demonstrated that robots could independently master complex physical skills such as archery through iterative learning algorithms, garnering 72 citations and broad recognition in the field. He further advanced developmental robotics by investigating how action-driven perception shapes a robot's self-awareness, including novel visuomotor correlation methods for body self-definition. Beyond humanoids, Saegusa has contributed to practical robotics applications, developing RFID-based autonomous navigation, tactile sensing systems, and the hospital assistance robot Terapio, as well as contactless breathing measurement for care-rounds robots. His body of work reflects a sustained commitment to bridging theoretical developmental frameworks with real-world robotic systems that benefit both research and society.

Research Focus

Key Achievements

Top Papers

1. 1
   Active motor babbling for sensorimotor learning

   73 citations · 2009
2. 2
   Learning the skill of archery by a humanoid robot iCub

   72 citations · 2010
3. 3
   Developmental Perception of the Self and Action

   29 citations · 2013
4. 4
   Autonomous navigation of a mobile robot based on passive RFID

   24 citations · 2007
5. 5
   A simple tactile sensor system for robot manipulator and object edge shape recognition

   19 citations · 2007
6. 6
   Medical Round Robot – Terapio –

   16 citations · 2014
7. 7
   Active learning for multiple sensorimotor coordination based on state confidence

   14 citations · 2009
8. 8
   Own body perception based on visuomotor correlation

   13 citations · 2010
9. 9
   Body Definition Based on Visuomotor Correlation

   12 citations · 2011
10. 10
    Human-Care Rounds Robot with Contactless Breathing Measurement

    11 citations · 2019

Key Collaborators

Contact & Links