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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 16:35 |
Online | Online | [Invited Talk]
Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning Koichi Kobayashi (Hokkaido Univ.)  RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 |
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] | RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 13:50 |
Online | Online | Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3 |
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] | NC2021-3 IBISML2021-3 pp.15-22 |
| NLP, MSS (Joint) |
2021-03-16 09:40 |
Online | Online | Pinning consensus control of a group of quadrotors modeled by a directed acyclic graph Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) MSS2020-50 |
In this study, we consider a pinning consensus control problem with a given altitude for a group of heterogeneous quadro... [more] | MSS2020-50 pp.33-36 |
| KBSE | 2021-03-06 13:00 |
Online | Online | Efficient Evacuation Support in Mountainous Areas Using UAV Itsuki Tago, Yasushi Kambayashi (NIT) KBSE2020-43 |
We have witnessed various natural disasters in many regions. Even though people pay attention to tsunami, land-slides in... [more] | KBSE2020-43 pp.54-59 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 13:30 |
Online | Online | On parameter identifications of Higher-Order IIR adaptive filters by using discrete chaotic systems Yutaro Arai, Yasunori Sugita, Tadashi Tsubone (NUT) CAS2020-15 NLP2020-36 |
Since the structure of the error function is often multimodal, in case of a strategy that minimizes the error function i... [more] | CAS2020-15 NLP2020-36 pp.21-24 |
| MSS, NLP (Joint) |
2020-03-09 10:15 |
Aichi | (Cancelled but technical report was issued) |
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116 |
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] | NLP2019-116 pp.19-23 |
| MSS, NLP (Joint) |
2020-03-10 16:45 |
Aichi | (Cancelled but technical report was issued) |
Reinforcement Learning Based Multi-Ship Course Search Method with Tracking Control Hiroki Kimura, Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2019-131 |
We have developed multi-agent reinforcement learning system (MARLS) to search ships’ courses. Since the rudder angle is ... [more] | NLP2019-131 pp.103-108 |
| RCC | 2020-01-27 14:10 |
Osaka | Distributed online subgradient method over unbalanced directed graphs Makoto Yamashita, Naoki Hayashi, Takeshi Hatanaka, Shigemasa Takai (Osaka Univ.) RCC2019-72 |
This paper considers a constrained distributed online optimization problem over strongly connected unbalanced directed n... [more] | RCC2019-72 pp.13-18 |
|
| KBSE | 2020-01-25 14:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Design and Implementation of Multi-Robot Control System Using Extended PSO Based on Multiple Software Agents Tomoya Minowa, Kazuki Kanari, Tetsuro Takahashi, Masafumi Goto, Toshihiko Seino, Yasushi Kambayashi (NIT) KBSE2019-43 |
It is difficult for people to search the site where the building collapsed and rubble was scattered. In that case, a ro... [more] |
KBSE2019-43 pp.31-36 |
| AI | 2019-12-06 13:35 |
Overseas | The University of Adelaide | A Mediation for Multi-Issue Negotiation with Genetic Algorithm Ryohei Kawata, Takaki Yasui (TUAT), Mark Klein (MIT), Yuta Hosokawa, Katsuhide Fujita (TUAT) AI2019-39 |
The complexity of the non-linear utility functions and the negotiation spaces becomes negotiations among the agents diff... [more] | AI2019-39 pp.5-8 |
| ICTSSL, IN | 2019-10-17 10:50 |
Oita | Comparison of Efficiency between Fixed and Mobile Disaster Information Transmitters Naoki Kobayashi, Yamazaki Tatsuya (Niigata Univ.), Sato Shosuke (Tohoku Univ.) ICTSSL2019-18 IN2019-32 |
To promote evacuation at the time of disaster, appropriate local information needs to be certainly transmitted to the ev... [more] | ICTSSL2019-18 IN2019-32 pp.11-16 |
|
| CQ | 2019-08-28 16:10 |
Hokkaido | Hakodate arena | Optimal spreading of disaster warnings using VANETs
-- Importance of quick sharing of evacuation information based on the experience of the Great East Japan Earthquake -- Kota Ichikawa, Alberto Gallegos, Taku Noguchi (Ritsumeikan Univ.) CQ2019-87 |
In recent years, the need of Vehicular Ad-hoc Networks (VANETs) during disasters has increased. For example, during the ... [more] | CQ2019-87 pp.153-157 |
| CQ | 2019-07-18 13:00 |
Niigata | Niigata Univ. | [Poster Presentation]
Study on Source Allocation in a Local Information Transmitting System for Evacuation Simulation Naoki Kobayashi, Tatsuya Yamazaki (Niigata Univ.) CQ2019-43 |
Evacuation simulation has been used as a tool to imitate human actions at the time of disaster. Among many evacuation si... [more] | CQ2019-43 pp.45-49 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2019-05-17 14:00 |
Okinawa | Okinawa Industry Support Center | Comparison between musical ensemble performance by human and one by agents
-- Toward multi-agent orchestra -- Satoshi Kawase, Takafumi Kanazawa (Osaka Univ.) HCS2019-21 HIP2019-21 |
This study investigated the group creativity of musical ensemble performance comparing performances by human and agents,... [more] | HCS2019-21 HIP2019-21 pp.165-168 |
| NLP, MSS (Joint) |
2019-03-14 14:20 |
Fukui | Bunkyo Camp., Univ. of Fukui | Improvement of Near-miss Courses by Reinforcement Learning to Search Ships' Courses Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takusyoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2018-127 |
Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent r... [more] | NLP2018-127 pp.17-22 |
| MSS, SS | 2019-01-15 13:55 |
Okinawa | Multi-Agent Monitoring with Fuel Constraints over Graphs Ryo Masuda, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2018-60 SS2018-31 |
The multi-agent monitoring (surveillance) problem over graphs is to find trajectories of multiple agents that travel eac... [more] | MSS2018-60 SS2018-31 pp.33-36 |
|
| ICD, CPSY, CAS | 2018-12-23 13:00 |
Okinawa | On Reward Sharing for Multi-agent Games Using Deep Reinforcement Learning Kei Watanabe, Toshihiro Tachibana (Shonan Isnt. of Tech.) CAS2018-107 ICD2018-91 CPSY2018-73 |
In this paper, we consider a method to realize multi agent system with multiple agents cooperating by deep reinforcement... [more] | CAS2018-107 ICD2018-91 CPSY2018-73 pp.109-114 |
|
| NLP | 2018-08-09 09:55 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | A Convergence Condition for the Projected Consensus Algorithm on a Network with a Fixed Topology Kosuke Kawashima, Norikazu Takahashi (Okayama Univ.) NLP2018-65 |
This report studies the problem of making the states of all agents in a network converge to the same point in the inters... [more] | NLP2018-65 pp.63-68 |
| CAS, SIP, MSS, VLD | 2018-06-14 10:00 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Self-Triggered Predictive Pinning Control for Consensus of Multi-Agent Systems Shun Andoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4 |
Pinning control of multi-agent systems is a method that the external control input is added to some agents (pinning node... [more] | CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4 pp.17-21 |
| MSS, NLP (Joint) |
2018-03-12 14:00 |
Osaka | Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor Shiyao Ding, Toshimitsu Ushio (Osaka Univ.) MSS2017-79 |
We propose a novel multi-agent reinforcement learning (MARL) algorithm which is called a policy gra- dient lagging anch... [more] |
MSS2017-79 pp.11-14 |
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