Kazuki Yane

12 papers C 5Journal 1Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Motion Reproduction System for Environmental Impedance Variation via Data-Driven Identification of Human Stiffness.
IEEE Trans. Ind. Electron.
Akira Takakura, Kazuki Yane, Tomoya Kitamura, Shuichi Adachi, Takahiro Nozaki
2024 C conf
Control for 2-DOF Electroaerodynamic Levitation Systems Considering Discharge Characteristics.
IECON
Shigeki Yashita, Hiroaki Katagiri, Kazuki Yane, Tomoya Kitamura, Hiroyuki Tsubata, Takahiro Nozaki
2024 — conf
Motion Generation in Hybrid Control Converted from Human Motion Data.
AMC
Kazuki Yane, Takahiro Nozaki
2024 C conf
Probing Signal Injection for Compatible Realization of Operationality and Impedance Identification.
IECON
Akira Takakura, Kazuki Yane, Takahiro Nozaki
2024 C conf
Robot Command Upgrade by Integration of Position and Force Information from Multiple Motion Reproduction Results.
IECON
Kazuki Yane, Takahiro Nozaki
2024 — conf
Vertical Adjustment Method with Mechanical Power Factor Feedback.
ISIE
Taiyo Shimada, Kazuki Yane, Izumi Kotani, Saki Kozu, Takahiro Nozaki
2023 C conf
Attitude Control Method Based on Differential Mode Voltage Considering Start Voltage of Corona Discharge.
IECON
Shigeki Yashita, Hiroaki Katagiri, Tomoya Kitamura, Kazuki Yane, Yuki Inada, Yutaka Kazoe, Takahiro Nozaki
2023 — conf
Development of Automatically Controlled Facial Osteotomy Robot using Force Information - For Safe Le Fort I Osteotomy -.
ISIE
Koji Niwa, Kazuki Yane, Yusuke Kido, Tomoya Kitamura, Takahiro Nozaki
2023 — conf
Preliminary Study of Object Recognition by Converting Physical Responses to Images in Two Dimensions.
ICM
Kazuki Yane, Takahiro Nozaki
2022 — conf
Delay Time of Human Motion Generation in Response to Changing Periods in Force Tracking Task.
BioRob
Kazuki Yane, Hermano Igo Krebs, Takahiro Nozaki
2021 — conf
Recognition of Environmental Impedance Configuration by Neural Network Using Time-Series Contact State Response.
AMC
Kazuki Yane, Takahiro Nozaki
2020 C conf
Chat-type Manzai application: mobile daily comedy presentations based on automatically generated manzai scenarios.
MoMM
Kazuki Haraguchi, Kazuki Yane, Akira Sato, Eiji Aramaki, Isao Miyashiro, Akiyo Nadamoto