Investigation of the EEG scalp distribution for estimation of shoulder joint torque in the upper-limb power assistant system. - Hongbo Liang; Chi Zhu 001; Masataka Yoshioka; Naoya Ueda; Ye Tian; Yu Iwata; Haoyong Yu; Yuling Yan; Feng Duan (ROBIO, 2016)

Estimation of EMG signal for shoulder joint based on EEG signals for the control of upper-limb power assistance devices. - Hongbo Liang; Chi Zhu 001; Masataka Yoshioka; Naoya Ueda; Ye Tian; Yu Iwata; Haoyong Yu; Feng Duan; Yuling Yan (ICRA, 2017)

A New Type of Foldable and Omnidirectional Mobile Assistive Robot. - Riki Tajima; Chi Zhu 001; Hongbo Liang; Chang Liu 085; Naoya Ueda; Peirang Li; Taiki Watanabe (RCAR, 2019)

Sensorless Power Assistance Control for a Lumbar Assist Device. - Naoyuki Ogawa; Weimin Zhang; Yasuyuki Shibusawa; Naoki Tago; Koei Deguchi; Yusuke Ueta; Taiki Watanabe; Tsuyoshi Kaneko; Peirang Li; Chang Liu 085; Hongbo Liang; Naoya Ueda; et al. (ROBIO, 2019)

Functional Evaluation of a Force Sensor-Controlled Upper-Limb Power-Assisted Exoskeleton with High Backdrivability. - Chang Liu 085; Hongbo Liang; Naoya Ueda; Peirang Li; Yasutaka Fujimoto; Chi Zhu 001 (Sensors, 2020)

EEG-Based EMG Estimation of Shoulder Joint for the Power Augmentation System of Upper Limbs. - Hongbo Liang; Yingxin Yu; Mika Mochida; Chang Liu 085; Naoya Ueda; Peirang Li; Chi Zhu 001 (Symmetry, 2020)

A wearable lightweight exoskeleton with full degrees of freedom for upper-limb power assistance. - Chang Liu 085; Hongbo Liang; Yoshitaka Murata; Peirang Li; Naoya Ueda; Ryuichi Matsuzawa; Chi Zhu 001 (Adv. Robotics, 2021)

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study. - Hongbo Liang; Shota Maedono; Yingxin Yu; Chang Liu 085; Naoya Ueda; Peirang Li; Chi Zhu 001 (Entropy, 2021)

Japanese Named Entity Recognition from Automatic Speech Recognition Using Pre-trained Models. - Seiichiro Kondo; Naoya Ueda; Teruaki Oka; Masakazu Sugiyama; Asahi Hentona; Mamoru Komachi (PACLIC, 2022)

Exploration of motion-associated information from EEG during upper limb movement. - Jue Gao; Chi Zhu 001; Peirang Li; Naoya Ueda; Shuto Fukushima; Yusuke Kimura (ICBRA, 2023)

TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models. - Naoya Ueda; Mamoru Komachi (INLG (Generation Challenges), 2023)

Token-length Bias in Minimal-pair Paradigm Datasets. - Naoya Ueda; Masato Mita; Teruaki Oka; Mamoru Komachi (LREC/COLING, 2024)

Power-assist on slope with velocity compensation for attendant-propelled electric wheelchairs. - Peirang Li; Naoya Ueda; Chi Zhu 001 (Adv. Robotics, 2024)