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Hidehisa Akiyama
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2020 – today
- 2023
- [c24]Hidehisa Akiyama
, Tomoharu Nakashima
, Kyo Hatakeyama, Takumi Fujikawa, Akei Hishiki:
HELIOS2023: RoboCup 2023 Soccer Simulation 2D Competition Champion. RoboCup 2023: 386-394 - 2022
- [c23]Hidehisa Akiyama, Tomoharu Nakashima, Kyo Hatakeyama, Takumi Fujikawa:
HELIOS2022: RoboCup 2022 Soccer Simulation 2D Competition Champion. RoboCup 2022: 253-263 - [c22]Hidehisa Akiyama:
Ball Trapping in the Simulated Soccer using Decision Tree based Learning to Rank. SCIS/ISIS 2022: 1-4 - 2020
- [j3]Takuya Fukushima, Tomoharu Nakashima
, Hidehisa Akiyama
:
Evaluation-function modeling with multi-layered perceptron for RoboCup soccer 2D simulation. Artif. Life Robotics 25(3): 440-445 (2020) - [c21]Hidehisa Akiyama
, Yudai Tanaka, Ryota Saito, Shigeto Aramaki:
An Experience System of Soccer Referee Using Immersive Virtual Reality. SCIS/ISIS 2020: 1-4
2010 – 2019
- 2019
- [c20]Hidehisa Akiyama:
Acquiring Multiagent Cooperative Behavior in the RoboCup Soccer Simulation. IWCIA 2019: 1 - [c19]Takuya Fukushima
, Tomoharu Nakashima
, Hidehisa Akiyama
:
Similarity Analysis of Action Trajectories Based on Kick Distributions. RoboCup 2019: 58-70 - [c18]Yudai Suzuki, Takuya Fukushima
, Léa Thibout, Tomoharu Nakashima
, Hidehisa Akiyama
:
Game-Watching Should be More Entertaining: Real-Time Application of Field-Situation Prediction to a Soccer Monitor. RoboCup 2019: 439-447 - 2018
- [c17]Takuya Fukushima
, Tomoharu Nakashima
, Hidehisa Akiyama
:
Mimicking an Expert Team Through the Learning of Evaluation Functions from Action Sequences. RoboCup 2018: 170-180 - [c16]Hidehisa Akiyama
, Tomoharu Nakashima
, Takuya Fukushima, Jiarun Zhong, Yudai Suzuki, An Ohori:
HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion. RoboCup 2018: 450-461 - [c15]Hidehisa Akiyama
, Masahi Fukuyado, Toshihiro Gochou, Shigeto Aramaki:
Learning Evaluation Function for RoboCup Soccer Simulation using Humans' Choice. SCIS&ISIS 2018: 1416-1420 - [e1]Hidehisa Akiyama, Oliver Obst
, Claude Sammut, Flavio Tonidandel:
RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]. Lecture Notes in Computer Science 11175, Springer 2018, ISBN 978-3-030-00307-4 [contents] - 2017
- [c14]Takuya Fukushima
, Tomoharu Nakashima
, Hidehisa Akiyama
:
Online Opponent Formation Identification Based on Position Information. RoboCup 2017: 241-251 - [c13]Tojiro Kaneko, Hidehisa Akiyama, Shigeto Aramaki:
Fast Pseudo Random Forest Using Discrimination Hyperspace. ICSI (2) 2017: 379-386 - 2016
- [c12]Tojiro Kaneko, Hidehisa Akiyama
, Shigeto Aramaki:
Detection of Indoor Mobile Robots Using Objective Sensor without Markers. IIAI-AAI 2016: 572-575 - [c11]Jordan Henrio, Thomas Henn, Tomoharu Nakashima
, Hidehisa Akiyama
:
Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation. RoboCup 2016: 428-439 - [c10]Tomonari Nakade, Tomoharu Nakashima
, Hidehisa Akiyama
, Hirosato Seki:
Position Prediction of Opponent Players by SIRMs Fuzzy Models for RoboCup Soccer 2D Simulation. SCIS&ISIS 2016: 224-228 - [c9]Hidehisa Akiyama
, Masashi Tsuji, Shigeto Aramaki:
Learning Evaluation Function for Decision Making of Soccer Agents Using Learning to Rank. SCIS&ISIS 2016: 239-242 - [i1]Jordan Henrio, Thomas Henn, Tomoharu Nakashima, Hidehisa Akiyama:
Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes' Estimation. CoRR abs/1606.01015 (2016) - 2014
- [c8]Hidehisa Akiyama
, Klaus Dorer, Nuno Lau
:
On the Progress of Soccer Simulation Leagues. RoboCup 2014: 599-610 - 2013
- [c7]Hidehisa Akiyama
, Tomoharu Nakashima
:
HELIOS Base: An Open Source Package for the RoboCup Soccer 2D Simulation. RoboCup 2013: 528-535 - 2012
- [c6]Hidehisa Akiyama
, Shigeto Aramaki, Tomoharu Nakashima
:
Online Cooperative Behavior Planning Using a Tree Search Method in the RoboCup Soccer Simulation. INCoS 2012: 170-177 - [c5]Hidehisa Akiyama
, Tomoharu Nakashima
:
HELIOS2012: RoboCup 2012 Soccer Simulation 2D League Champion. RoboCup 2012: 13-19 - [c4]Hidehisa Akiyama
, Shigeto Aramaki, Tomoharu Nakashima
:
Team formation estimation using cluster analysis and triangulation model. SCIS&ISIS 2012: 956-959 - 2011
- [j2]Keiji Nagatani, Yoshito Okada, Naoki Tokunaga, Seiga Kiribayashi, Kazuya Yoshida
, Kazunori Ohno, Eijiro Takeuchi, Satoshi Tadokoro, Hidehisa Akiyama
, Itsuki Noda, Tomoaki Yoshida, Eiji Koyanagi:
Multirobot exploration for search and rescue missions: A report on map building in RoboCupRescue 2009. J. Field Robotics 28(3): 373-387 (2011)
2000 – 2009
- 2009
- [c3]Tomoaki Yoshida, Keiji Nagatani, Eiji Koyanagi, Yasushi Hada, Kazunori Ohno, Shoichi Maeyama, Hidehisa Akiyama
, Kazuya Yoshida
, Satoshi Tadokoro:
Field Experiment on Multiple Mobile Robots Conducted in an Underground Mall. FSR 2009: 365-375 - 2008
- [c2]Itsuki Noda, Hiroki Shimora, Hidehisa Akiyama
:
Conceptual Framework to Maintain Multiple and Floating Relationship among Coordinate Reference Systems for Robotics. SIMPAR 2008: 328-339 - 2007
- [j1]Hidehisa Akiyama, Daisuke Katagami, Katsumi Nitta:
Training of Agent Positioning Using Human's Instruction. J. Adv. Comput. Intell. Intell. Informatics 11(8): 998-1006 (2007) - [c1]Hidehisa Akiyama
, Itsuki Noda:
Multi-agent Positioning Mechanism in the Dynamic Environment. RoboCup 2007: 377-384
Coauthor Index
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