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Yuichi Nakamura

3 accepted papers

2025

Integrated Motion State Prediction for Sit-to-Stand and Stand-to-Sit Motions Toward Effective Power Assist Control

ICRA 2025

Sit-to-stand and stand-to-sit motions are important in daily activities. However, elderly individuals often find these motions difficult to perform with declining lower limb strength, which causes a considerable reduction to their quality of life. In this study, a sensing method for controlling robo

Cited by 0SourceScholar
2022

Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot

RA-L 2022

Exoskeleton robots need to always actively assist the user’s movements otherwise robot just becomes a heavy load for the user. However, estimating diversified movement intentions in a user’s daily life is not easy and no algorithm so far has achieved that level of estimation. In this s

Cited by 14SourceScholar
2019

A Wearable Skin-Stretching Tactile Interface for Human-Robot and Human-Human Communication

RA-L 2019

Currently, the majority of wearable robotic haptic feedback devices rely on vibrations for relaying sensory information to the user. While this can be very effective, vibration as a physical stimulation is limited in modality and is uncommon in the natural world. In many cases, for human-robot and h

Cited by 23SourceScholar