Peirang Li

According to our database, Peirang Li authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Power-assist on slope with velocity compensation for attendant-propelled electric wheelchairs.

Peirang Li, Naoya Ueda, Chi Zhu

Adv. Robotics, January, 2024

A Novel Constant Driving-Force Lift Mechanism with Sensorless Load Estimation for Scissor Lift Trolley.

Peirang Li, Yoshiki Sawairi, Fei Kang, Chi Zhu

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

2023

Exploration of motion-associated information from EEG during upper limb movement.

Jue Gao, Chi Zhu, Peirang Li, Naoya Ueda, Shuto Fukushima, Yusuke Kimura

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

2021

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study.

Hongbo Liang, Shota Maedono, Yingxin Yu, Chang Liu, Naoya Ueda, Peirang Li, Chi Zhu

Entropy, 2021

A wearable lightweight exoskeleton with full degrees of freedom for upper-limb power assistance.

Chang Liu, Hongbo Liang, Yoshitaka Murata, Peirang Li, Naoya Ueda, Ryuichi Matsuzawa, Chi Zhu

Adv. Robotics, 2021

2020

EEG-Based EMG Estimation of Shoulder Joint for the Power Augmentation System of Upper Limbs.

Hongbo Liang, Yingxin Yu, Mika Mochida, Chang Liu, Naoya Ueda, Peirang Li, Chi Zhu

Symmetry, 2020

Functional Evaluation of a Force Sensor-Controlled Upper-Limb Power-Assisted Exoskeleton with High Backdrivability.

Chang Liu, Hongbo Liang, Naoya Ueda, Peirang Li, Yasutaka Fujimoto, Chi Zhu

Sensors, 2020

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, Hongbo Liang, Naoya Ueda, Chi Zhu

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

A New Type of Foldable and Omnidirectional Mobile Assistive Robot.

Riki Tajima, Chi Zhu, Hongbo Liang, Chang Liu, Naoya Ueda, Peirang Li, Taiki Watanabe

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019