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All Technical Committee Conferences (Searched in: All Years)
| 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.)  CQ2024-7 |
In this study, two systems each of which remotely controls an industrial robot arm using a haptic interface device that... [more] | CQ2024-7 pp.24-29 |
| 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 |
| 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 |
| 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 |
| SIP, CAS, VLD, MSS | 2021-07-06 11:15 |
Online | Online | Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12 |
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] | CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12 pp.60-63 |
| CS, CQ (Joint) |
2021-05-13 09:30 |
Online | On-line | Enhancement of Robot Position Control Using Force Information Considering Mobile Robots Kazuya Kanaishi, Hirofumi Nakagawa, Yutaka Ishibashi (NITech), Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yuichiro Tateiwa (NITech) CQ2021-1 |
This report enhances the robot position control using force information, which was previously proposed, for collaborativ... [more] | CQ2021-1 pp.1-6 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 13:40 |
Online | Online | Comparison of Cooperation Methods between Users for Remote Robot Operation Satoru Ishikawa, Yutaka Ishibashi (NIT), Pingguo Huang (Gifu Shotoku Univ.), Yuichiro Tateiwa (NIT) CQ2020-117 |
This report deals with cooperative work in which we carry an object together by using two remote robot systems with forc... [more] | CQ2020-117 pp.49-54 |
| CQ, CBE (Joint) |
2021-01-22 13:20 |
Online | Online | [Invited Lecture]
Stabilization in Remote Robot Systems with Force Feedback Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yutaka Ishibashi (NITech), Takanori Miyoshi (Nagaoka University of Technology) CQ2020-97 |
In this report, we deal with a remote robot system in which a user can operate an industrial robot with a force sensor a... [more] | CQ2020-97 pp.135-139 |
| NS, ICM, CQ, NV (Joint) |
2020-11-27 09:30 |
Online | Online | Effects of Robot Position Control Using Force Information in Cooperation among Humans and Robots Seishiro Ito, Yutaka Ishibashi (NIT), Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yuichiro Tateiwa (NIT) CQ2020-53 |
W e apply the robot position control using force information, which finely adjusts the robot position to reduce the forc... [more] | CQ2020-53 pp.32-37 |
| NS, ICM, CQ, NV (Joint) |
2020-11-27 09:55 |
Online | Online | Comparison of Force Feedback Methods in Remote Robot Systems Satoru Ishikawa, Yukata Ishibashi (NIT), Pingguo Huang (Shotoku), Takanori Miyoshi (NUT) CQ2020-54 |
In remote robot systems with force feedback, this report compares methods of force feedback for cooperative work between... [more] | CQ2020-54 pp.38-43 |
| CQ, CS (Joint) |
2020-06-26 13:50 |
Online | Online | Experiment on Robot Position Control using Force Information in Cooperation between Remote Robot Systems with Force Feedback Satoru Ishikawa, Yutaka Ishibashi (NIT), Pingguo Huang (Seijoh Univ), Yuichiro Tateiwa (NIT) CQ2020-18 |
By experiment, this report investigates effects of the robot position control using force information for cooperative wo... [more] | CQ2020-18 pp.89-94 |
| HCS | 2020-01-25 14:00 |
Oita | Room407, J:COM HorutoHall OITA (Oita) | the relationships between interpretation bias of indirect requests and learning rate parameters for social reward or punishment Makoto Hirakawa (Hitoshima Univ.) HCS2019-61 |
People sometimes do not make requests directly. Instead, for example, the utterance “This room is cold” may attempt to c... [more] | HCS2019-61 pp.41-45 |
| NS, ICM, CQ, NV (Joint) |
2019-11-22 11:15 |
Hyogo | Rokkodai 2nd Campus, Kobe Univ. | Effect of QoS Control for Hand Delivery of Object between Remote Robot Systems with Force Feedback Qin Qian, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh Univ), Yuichiro Tateiwa (NITech) CQ2019-100 |
(To be available after the conference date) [more] | CQ2019-100 pp.65-70 |
| NS | 2019-10-11 11:35 |
Aichi | Nagoya Institute of Technology | Effect of Adaptive ∆-Causality Control for Cooperation between Remote Robot Systems with Force Feedback
-- Case Where Robots have Equal Relationship -- Kazuya Kanaishi, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh Univ.), Yuichiro Tateiwa (NITech) NS2019-119 |
In this report, we investigate the effect of the adaptive ∆-causality control for cooperation between two remote robot s... [more] | NS2019-119 pp.87-92 |
| CQ | 2019-07-18 09:30 |
Niigata | Niigata Univ. | Human Perception of Weight in Remote Robot System with Force Feedback Limin Wen, Yutaka Ishibashi (NITech), Pingguo Huang (Seijoh University), YuichiroTateiwa (NITech), Hitoshi Ohnishi (The Open University of Japan) CQ2019-33 |
[more] | CQ2019-33 pp.1-5 |
| CQ | 2019-07-18 09:55 |
Niigata | Niigata Univ. | Robot Position Control using Force Information in Remote Robot Systems with Force Feedback Satoru Ishikawa, Yutaka Ishibashi (N.I.T), Pingguo Huang (SEIJOH Univ.), Yuichiro Tateiwa (N.I.T) CQ2019-34 |
This report handles the robot position control using force information, which was previously proposed by the authors, fo... [more] | CQ2019-34 pp.7-12 |
| NLP, NC (Joint) |
2019-01-24 12:00 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | Model selection using reinforcement learning in laser-based reservoir computing Kazutaka Kanno (Saitama Univ.), Makoto Naruse (NICT), Atsushi Uchida (Saitama Univ.) NLP2018-116 |
Reservoir computing is machine learning based on artificial neural network and it is a main feature that only output wei... [more] | NLP2018-116 pp.107-112 |
| MBE, NC (Joint) |
2017-12-16 13:25 |
Aichi | Nagoya University | A mechanism of generating top-down influence on V1 neurons in adapting behavior to perceptual learning Ryo Tani (UEC), Shiro Yano (Tokyo Agriculture and Technology Univ.), Yoshiki Kashimori (UEC) NC2017-44 |
Neurophysiological experiments have provided evidence for a “simple-to-complex” processing model based on a hierarchy of... [more] | NC2017-44 pp.23-28 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Good Arm Identification via Bandit Feedback Hideaki Kano, Junya Honda (UTokyo/RIKEN), Kentaro Sakamaki (UTokyo), Kentaro Matsuura (Johnson & Johnson), Atsuyoshi Nakamura (HU), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-82 |
In this paper, we consider and discuss a new stochastic multi-armed bandit problem called {em good arm identification} (... [more] | IBISML2017-82 pp.339-346 |
| RCS, SR, SRW (Joint) |
2017-03-01 15:10 |
Tokyo | Tokyo Institute of Technology | Improved Robustness against Blockage in Millimeter-Wave Systems using Reinforcement Learning Thomas Bourgeois, Noriyuki Hashimoto, Masato Umehara, Yasuhiro Suegara (KDDI Research, Inc.) RCS2016-299 |
In millimeter-wave systems, the lack of signal diffraction around obstacles leads to signal blockage (i.e. by human bod... [more] |
RCS2016-299 pp.61-66 |
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