Takeshi Ando
Waseda University, Panasonic (Japan), The University of Osaka
Papers
25
Total Citations
206
H-Index
8
About
Takeshi Ando is a robotics and biomedical engineering researcher whose work centers on assistive and rehabilitation technologies for individuals with movement disorders and physical disabilities. He is best known for his sustained contributions to the development of myoelectric-controlled exoskeletal robots designed to suppress essential tremor — a debilitating condition affecting millions worldwide. His most cited work (27 citations) introduced a sophisticated signal processing approach using Short-Time Fourier Transforms and Time Delay Neural Networks to distinguish voluntary muscle activity from involuntary tremor in EMG signals, enabling more precise robotic assistance. Across multiple studies totaling over 100 citations, Ando and his collaborators progressively refined tremor suppression systems, advancing joint mechanisms, filtering algorithms, and voluntary movement recognition for upper-limb orthoses. Beyond tremor research, he has made notable contributions to gait rehabilitation robotics, including a novel treadmill-based walk phase estimation method, as well as innovative work in head-care robotics and rollover support systems for elderly and disabled users. His 2021 research on transformable wheel-leg mobility platforms further demonstrates his broad commitment to human-centered robotic design. Ando's body of work reflects a consistent mission: engineering intelligent robotic solutions that meaningfully restore independence and improve daily living for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6An algorithm of walk phase estimation with only treadmill motor current14 citations · 2009
- 7Biosignal-based relaxation evaluation of head-care robot9 citations · 2013
- 8
- 9A transformable human-carrying wheel–leg mobility for daily use8 citations · 2021
- 10Micro Macro Neural Network to Recognize Rollover Movement8 citations · 2010