Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ, CS (Joint) |
2024-05-16 14:55 |
Aichi |
(Primary: On-site, Secondary: Online) |
Force Adjustment Control in Cooperative Work between Remote Robot Systems with Force Feedback
-- Application of Reinforcement Learning -- Hitoshi Ohnishi (OUJ), Hiroya Kato, Yutaka Ishibashi (Nagoya Institute of Technology), Pingguo Huang (Gifu Shotoku Gakuen Univ.) |
(To be available after the conference date) [more] |
|
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:10 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Tape-tics:Proposal of a Cuttable Tape-Type Haptic Device with Arranged Miniature Vibrators Carlos Paniagua, Hiroki Ota, Monica Perusquia Hernandez, Hideaki Uchiyama, Yutaro Hirao, Kiyoshi Kiyokawa (NAIST) IMQ2023-66 IE2023-121 MVE2023-95 |
In this study, we propose "Tape-tics," a tape-shaped device equipped with an array of miniature vibrators, following the... [more] |
IMQ2023-66 IE2023-121 MVE2023-95 pp.292-296 |
NS, IN (Joint) |
2024-03-01 13:00 |
Okinawa |
Okinawa Convention Center |
A Study on Deadline Scheduling Scheme Based on Adaptive Feedback in Distributed Edge Computing Atsushi Yoshii, Yusuke Ito, Hiroyuki Koga (Univ. of Kitakyushu) NS2023-234 |
In recent years, delay-sensitive Internet of Things (IoT) services (e.g., automatic driving and remote control of robots... [more] |
NS2023-234 pp.367-372 |
ET |
2023-11-11 16:20 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Verification of The Mechatronic education material for beginners educational effectiveness Reina Ikebe, Masanori Aragame, Mami Nishida (IPUT) ET2023-34 |
Research indicated that the effect of educate programming beginners with developed visualizing system. In research, I tr... [more] |
ET2023-34 pp.56-60 |
MBE, IEE-MBE |
2023-06-16 13:00 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Biological rhythmic phenomena and their significance Mitsuyuki Nakao (Tohoku Univ.) MBE2023-8 |
There are many biological rhythms that have diverse periods including the heartbeat, cell division cycles, circadian rhy... [more] |
MBE2023-8 pp.1-2 |
RCS |
2023-06-15 11:00 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Investigation of Highly-Efficient Low-Latency Scheduling Method in Round-Trip Communication for Feedback Control Ryotaro Iizuka (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic Holdings), Kenichi Higuchi (Tokyo Univ. of Science) RCS2023-55 |
This paper proposes a highly spectrum-efficient low-latency scheduling method in the round-trip communication for feedba... [more] |
RCS2023-55 pp.161-166 |
NC, MBE (Joint) |
2023-03-15 13:25 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Development of a Neurofeedback-based Attention Training System for Personal Use Hayato Miwa, Shunsuke Negishi, Takeshi Sakurada (Seikei Univ) NC2022-114 |
Neurofeedback is one of the neuromodulation approaches to train brain functions based on real-time brain activity analys... [more] |
NC2022-114 pp.125-126 |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-02-28 16:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A method of constantly estimating the feedback path in active noise control systems Kensaku Fujii (kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2022-95 SIP2022-139 SP2022-59 |
In this paper, we propose a method of constantly estimating a feedback path in active noise control systems. The feedbac... [more] |
EA2022-95 SIP2022-139 SP2022-59 pp.115-122 |
CQ, CBE (Joint) |
2023-01-26 11:25 |
Ibaraki |
Epochal Tsukuba International Congress Center (Primary: On-site, Secondary: Online) |
Effect of Robot Movement Control Using Force Sensor in Remote Robot Systems Taking Account of Mobility Hirofumi Nakagawa, Yutaka Ishibashi (NITech), Pingguo Huang (GSGU), Yuichiro Tateiwa (NITech) CQ2022-64 |
In this report, for collaborative work of carrying an object between two remote robot systems with force feedback, by ta... [more] |
CQ2022-64 pp.17-22 |
EE |
2023-01-20 11:00 |
Fukuoka |
Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Single PCB current sensor for feedback control in the switch mode power converters Bayarkhuu Battuvshin, Ichiro Omura (KIT) EE2022-45 |
This paper explains the PCB Rogowski coil sensor which has a significant advantage over the hall-effect sensor and curre... [more] |
EE2022-45 pp.107-110 |
RCC, ITS, WBS |
2022-12-13 15:15 |
Shiga |
Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Event-Triggered Output Feedback Control for Cyber-Physical Systems Koichi Kitamura, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) WBS2022-38 ITS2022-14 RCC2022-38 |
Event-triggered control over a sensor network is studied as one of the control methods of cyber-physical systems. Event-... [more] |
WBS2022-38 ITS2022-14 RCC2022-38 pp.21-25 |
ET |
2022-12-10 15:50 |
Ishikawa |
JAIST Kanazawa Satellite and Online (Primary: On-site, Secondary: Online) |
Verification of PID control operation using the mechatronics visualizing education system. Reina Ikebe, Masanori Aragane, Mami Nishida (IPUT) ET2022-50 |
In this paper, developed this device that can be learned beginners without specialist knowledge from how to run the moto... [more] |
ET2022-50 pp.58-63 |
QIT (2nd) |
2022-05-30 13:30 |
Online |
Online |
[Poster Presentation]
Role of Feedback Control for Charging/Discharging Quantum Battery Kenta Koshihara, Kazuya Yuasa (Waseda Univ.) |
We discuss charging/discharging of energy of a quantum battery via general quantum processes. We point out that a genera... [more] |
|
IT, ISEC, RCC, WBS |
2022-03-10 13:50 |
Online |
Online |
Decentralized Event-Triggered Output Feedback Control for Sensor and Actuator Networks Koichi Kitamura, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82 |
In this paper, a new method of event-triggered control for a sensor and actuator network is proposed. Event-triggered co... [more] |
IT2021-107 ISEC2021-72 WBS2021-75 RCC2021-82 pp.145-149 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 18:10 |
Online |
Online (Zoom) |
Effects of Adaptive Viscoelasticity Control on Cooperative Work in Remote Robot Systems with Force Feedback Ruzhou Ye, Yutaka Ishibashi (Nitech), Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yuichiro Tateiwa (Nitech) CQ2021-111 |
By experiment, this report investigates effects of the adaptive viscoelasticity control, which was previously proposed a... [more] |
CQ2021-111 pp.61-66 |
MBE, NC (Joint) |
2022-03-04 10:20 |
Online |
Online |
A Kalman filter model for adaptation to delayed auditory feedback Nobuhiko Asakura (Osaka Univ.), Takafumi Sasaoka (Hiroshima Univ.), Kenji Ogawa (Hokkaido Univ.), Toshio Inui (Otemon Gakuin Univ.) NC2021-71 |
Compensation to auditory feedback delay is crucial for accurate speech motor control. We propose a Kalman filter model f... [more] |
NC2021-71 pp.133-137 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-01 09:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Methods applied to active sinusoidal noise control and their merits and demerits Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yushifumi Chisaki (CIT) EA2021-64 SIP2021-91 SP2021-49 |
In this paper, we compare the noise reduction effects provided by the feedback type applying the normalized least mean s... [more] |
EA2021-64 SIP2021-91 SP2021-49 pp.1-8 |
RCS, SIP, IT |
2022-01-20 16:15 |
Online |
Online |
[Invited Talk]
When Deep Unfolding Meets Control Engineering Masaki Ogura (Osaka Univ.) IT2021-45 SIP2021-53 RCS2021-213 |
Deep unfolding is a technique for tuning parameters for accelerating the convergence of iterative algorithms, and has be... [more] |
IT2021-45 SIP2021-53 RCS2021-213 p.95 |
SeMI |
2022-01-20 15:20 |
Nagano |
(Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Beamforming Feedback-based Model-driven Angle of Departure Estimation Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SeMI2021-68 |
This paper introduces the angle of departure (AoD) estimation method [1] using the multiple signal classification (MUSIC... [more] |
SeMI2021-68 pp.59-61 |
SS, MSS |
2022-01-11 14:05 |
Nagasaki |
Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24 |
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] |
MSS2021-37 SS2021-24 pp.35-39 |