Shingo Shimoda
RIKEN Center for Brain Science, Massachusetts Institute of Technology, Institute of Space and Astronautical Science, Toyota Motor Corporation (Switzerland), The University of Tokyo, RIKEN, Nagoya University, Toyota Physical and Chemical Research Institute, Bio-oriented Technology Research Advancement Institution
Papers
40
Total Citations
646
H-Index
14
About
Shingo Shimoda is a pioneering robotics and rehabilitation engineering researcher whose work spans human-robot interaction, brain-machine interfaces, assistive technologies, and biomimetic learning systems. Over his career, Shimoda has made substantial contributions to understanding how robots and humans can collaborate intelligently, most notably demonstrated in his widely cited work on precise three-dimensional object positioning (87 citations) and his development of a synergetic brain-machine interfacing paradigm enabling multi-degree-of-freedom robot control through motor imagery signals (49 citations). His biomimetic research has advanced artificial learning systems by drawing inspiration from biological regulatory mechanisms, producing influential frameworks on tacit learning and bipedal locomotion adaptation. Shimoda has also emerged as a leading voice in rehabilitation robotics, authoring systematic reviews on robotic assistive devices for upper limb recovery (71 citations) and cognitive intervention technologies for aging populations (51 citations), reflecting his commitment to translating engineering innovation into clinical impact. His work on haptic adaptive feedback for stroke rehabilitation and the CHAD hand-assistive device further underscores his dedication to improving quality of life for individuals with neurological and neuromuscular impairments. With over 400 cumulative citations, Shimoda's research bridges neuroscience, robotics, and human-centered design in genuinely transformative ways.
Research Focus
Key Achievements
Top Papers
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- 4A Synergetic Brain-Machine Interfacing Paradigm for Multi-DOF Robot Control49 citations · 2016
- 5Biomimetic Approach to Tacit Learning Based on Compound Control34 citations · 2009
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- 7Near-optimal navigation of high speed mobile robots on uneven terrain28 citations · 2008
- 8Study on Mole-Typed Deep Driller Robot for Subsurface Exploration23 citations · 2006
- 9Adaptability of Tacit Learning in Bipedal Locomotion23 citations · 2013
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