Takanori Ohnuma

About

Takanori Ohnuma is a robotics researcher whose work centers on assistive technologies for elderly mobility, particularly the design, control, and human-robot interaction of intelligent robotic walkers. He is best known as a principal architect of the JAIST Active Robotic Walker (JARoW), a sophisticated mobility aid engineered to enhance ambulatory capability in aging populations. His foundational 2010 paper on JARoW's design and control has accumulated 74 citations, establishing a benchmark in the field, while his 2013 work on walking intent-based movement control — garnering 67 citations — introduced novel gait recognition frameworks that allow the walker to respond naturally and intuitively to a user's movement patterns. Ohnuma has consistently advanced the technical sophistication of JARoW through innovative control strategies, including two-layered Kalman filtering and particle filter-based approaches, enabling more reliable and seamless human-machine interaction. His 2017 development of JARoW-II further refined the system by incorporating pelvic movement tracking, reflecting a deeper understanding of human biomechanics. Collectively, his contributions represent a coherent and impactful research trajectory that bridges robotics engineering, signal processing, and gerontechnology.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and control of JAIST active robotic walker

   74 citations · 2010
2. 2
   Walking Intent-Based Movement Control for JAIST Active Robotic Walker

   67 citations · 2013
3. 3
   JAIST Robotic Walker control based on a two-layered Kalman filter

   36 citations · 2011
4. 4
   Particle filter based feedback control of JAIST Active Robotic Walker

   26 citations · 2011
5. 5
   Development of JARoW-II active robotic walker reflecting pelvic movements while walking

   16 citations · 2017
6. 6
   Particle filter based lower limb prediction and motion control for JAIST Active Robotic Walker

   11 citations · 2014

Key Collaborators

Contact & Links