Sho Sakaino

Sho Sakaino

University of Tsukuba

H-index: 19

Asia-Japan

About Sho Sakaino

Sho Sakaino, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Tsukuba, specializes in the field of Robotics, Motion Control, Haptics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Loss Function Considering Dead Zone for Neural Networks

Imitation Learning Inputting Image Feature to Each Layer of Neural Network

Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning

Motion generation based on contact state estimation using two-stage clustering

Unsupervised human motion segmentation based on characteristic force signals of contact events

Motion Planning for Cutting Flexible Objects Based on Contact State Recognition

Autoregressive Model Considering Low Frequency Errors in Command for Bilateral Control-Based Imitation Learning

An independently learnable hierarchical model for bilateral control-based imitation learning applications

Sho Sakaino Information

University

Position

___

Citations(all)

1578

Citations(since 2020)

885

Cited By

1007

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

50

i10Index(since 2020)

30

Email

University Profile Page

University of Tsukuba

Google Scholar

View Google Scholar Profile

Sho Sakaino Skills & Research Interests

Robotics

Motion Control

Haptics

Top articles of Sho Sakaino

Title

Journal

Author(s)

Publication Date

Loss Function Considering Dead Zone for Neural Networks

arXiv preprint arXiv:2402.00393

Koki Inami

Koki Yamane

Sho Sakaino

2024/2/1

Imitation Learning Inputting Image Feature to Each Layer of Neural Network

arXiv preprint arXiv:2401.09691

Koki Yamane

Sho Sakaino

Toshiaki Tsuji

2024/1/18

Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning

IEEE Robotics and Automation Letters

Koki Yamane

Yuki Saigusa

Sho Sakaino

Toshiaki Tsuji

2023/11/22

Motion generation based on contact state estimation using two-stage clustering

IEEJ Journal of Industry Applications

Kazuki Takeuchi

Sho Sakaino

Toshiaki Tsuji

2023/9/1

Unsupervised human motion segmentation based on characteristic force signals of contact events

IEEE Robotics and Automation Letters

Keito Sugawara

Sho Sakaino

Toshiaki Tsuji

2023/8/9

Motion Planning for Cutting Flexible Objects Based on Contact State Recognition

IEEJ Journal of Industry Applications

Yasuhiro Kato

Sho Sakaino

Toshiaki Tsuji

2023/7/1

Autoregressive Model Considering Low Frequency Errors in Command for Bilateral Control-Based Imitation Learning

IEEJ Journal of Industry Applications

Tetsuro Akagawa

Sho Sakaino

2023/1/1

An independently learnable hierarchical model for bilateral control-based imitation learning applications

IEEE Access

Kazuki Hayashi

Sho Sakaino

Toshiaki Tsuji

2022/2/28

Peg-in-hole using transient information of force response

IEEE/ASME Transactions on Mechatronics

Hikaru Unten

Sho Sakaino

Toshiaki Tsuji

2022/12/2

Imitation learning for variable speed contact motion for operation up to control bandwidth

IEEE Open Journal of the Industrial Electronics Society

Sho Sakaino

Kazuki Fujimoto

Yuki Saigusa

Toshiaki Tsuji

2022/2/8

Contact Force Detection of Grinding Process Using Frequency Information and Differential Feature on Force Signal

IEEE Access

Yuya Nogi

Sho Sakaino

Toshiaki Tsuji

2022/12/1

High dynamic range force sensing of a robot hand combining signals on tip and wrist

IEEE Robotics and Automation Letters

Tomoki Horikoshi

Sho Sakaino

Toshiaki Tsuji

2022/1/27

Design of non-diagonal stiffness matrix for assembly task

arXiv preprint arXiv:2210.16594

Tsukasa Kusakabe

Sho Sakaino

Toshiaki Tsuji

2022/10/29

Force control of grinding process based on frequency analysis

IEEE Robotics and Automation Letters

Yuya Nogi

Sho Sakaino

Toshiaki Tsuji

2022/1/27

Selective Drive and Control of Index Finger Joint Using Multipoint Functional Electrical Stimulation

IEEE Access

Tatsuhiro Hamana

Minami Kawashima

Sho Sakaino

Toshiaki Tsuji

2022/10/19

Imitation learning for nonprehensile manipulation through self-supervised learning considering motion speed

IEEE Access

Yuki Saigusa

Sho Sakaino

Toshiaki Tsuji

2022/6/23

Reinforcement learning for robotic assembly using non-diagonal stiffness matrix

IEEE Robotics and Automation Letters

Masahide Oikawa

Tsukasa Kusakabe

Kyo Kutsuzawa

Sho Sakaino

Toshiaki Tsuji

2021/2/23

A force recognition system for distinguishing click responses of various objects

Koyo Sato

Sho Sakaino

Toshiaki Tsuji

2021/9/27

Bilateral control-based imitation learning for velocity-controlled robot

Sho Sakaino

2021/6/20

Motion generation using bilateral control-based imitation learning with autoregressive learning

IEEE Access

Ayumu Sasagawa

Sho Sakaino

Toshiaki Tsuji

2021/2/2

See List of Professors in Sho Sakaino University(University of Tsukuba)

Co-Authors

H-index: 24
Toshiaki Tsuji

Toshiaki Tsuji

Saitama University

H-index: 6
Kyo Kutsuzawa

Kyo Kutsuzawa

Tohoku University

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