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Shingo Shimoda

8 accepted papers

2023

A Modular Biological Neural Network-Based Neuro-Robotic System via Local Chemical Stimulation and Calcium Imaging

RA-L 2023

Embodying in vitro biological neural networks (BNNs) with robots to explore the rise of intelligence in these simpler models and to endow robots with biological intelligence has been attracting increasing attention in the fields of neuroscience and robotics. However, current research suffers from un

Cited by 11SourceScholar
2021

Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure

ICRA 2021poster

Many previous works have facilitated muscle cell (C2C12) alignment to form fiber-like cell structures. However, there still remains a challenge how to induce C2C12 myoblasts in the cell structures to differentiate into matured myocytes to form a functional muscle tissue, while external mechanical st…

Cited by 2SourceScholar
2020

Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction

RA-L 2020

Averaging electromyographic activity prior to muscle synergy computation is a common method employed to compensate for the inter-repetition variability usually associated with this kind of physiological recording. Capturing muscle synergies requires the preservation of accurate temporal and spatial

Cited by 10SourceScholar
2020

Temporal Muscle Synergy Features Estimate Effects of Short-Term Rehabilitation in Sit-to-Stand of Post-Stroke Patients

RA-L 2020

Sit-to-stand (STS) motion is an important daily activity and many post-stroke patients have difficulty in performing the STS motion. Post-stroke patients who can perform STS independently, still utilize four muscle synergies (synchronized muscle activation) as seen in healthy people. In addition, te

Cited by 12SourceScholar
2018

A Novel Approach to the Segmentation of sEMG Data Based on the Activation and Deactivation of Muscle Synergies During Movement

RA-L 2018

The muscle-synergy hypothesis is a widely used method for describing simple motion patterns and how the central nervous system deals with the complexity of controlling a large set of muscles in parallel. However, the physiological interpretation of synergies and the mathematical techniques behind th

Cited by 15SourceScholar
2018

Effect of Physical Therapy on Muscle Synergy Structure During Standing-Up Motion of Hemiplegic Patients

RA-L 2018

Stroke patients suffer from declined physical ability, and it is important to analyze rehabilitation intervention and clarify its effect on the motion of patients. In this study, the effect of intervention on the standing-up motion of stroke patients is investigated. First, the intervention timing o

Cited by 28SourceScholar
2018

Grasp-training Robot to Activate Neural Control Loop for Reflex and Experimental Verification

ICRA 2018poster

Using a rehabilitation robot to activate motion intention and reflex response simultaneously is an effective approach to aiding recovery from paralysis caused by neurological disorders. Mechanical motions supported by conventional robots are, however, not enough to activate reflex. In this paper, we…

Cited by 13SourceScholar
2015

Projected PID controller for Tendon-Driven Manipulators actuated by magneto-rheological clutches

IROS 2015poster

Tendon-Driven Manipulators (TDM) have been used in various applications requiring low inertia robots having multiple degrees-of-freedom (DOF) and redundancy. TDMs are generally actuated by gear electric motors placed at the base of the robot, and consequently require complex cable tension feedback f…

Cited by 12SourceScholar