Cyrus 2D Soccer Simulation成立于2012年，旨在研究和开发多智能体系统。今年我们与Ziziphus合作，加快了我们的研究。本文简要介绍了一种利用神经网络对多智能体系统中玩家行为进行预测的方法。该数据集是从过去几年RoboCup比赛的日志文件中获得的。行为预测用于拦网、盯人和防守决策。塞勒斯使用的基本代码是特工3.11.
英文摘要：
Cyrus 2D Soccer Simulation was established 2012 with the aim of research and develop in multi agents systems. This year we have joined with Ziziphus for collaboration and speed up our researches. This paper express a brief description of a method for predicting player's behavior in a multi agent system using neural network with a dataset in three level (low, mid, high). The dataset was obtained from log files of past years RoboCup's matches. Behavior Prediction is used in block, mark and defensive decisions. The base code that Cyrus used is agent 3.11.
Khajeh Nasir Toosi University of Technology（卡扎尔·纳西尔·图西科技大学）；Tehran University（德黑兰大学）；Shiraz University of Technology（设拉子科技大学）；Atomic Energy High School（原子能高中）
Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
Memorial University of Newfoundland（纽芬兰纪念大学）；Dalhousie University（达尔豪斯大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Polish Academy of Sciences（波兰科学院）
CYRUS Soccer Simulation 2D Team Description Paper 2022
Dalhousie University（达尔豪斯大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Polish Academy of Sciences（波兰科学院）；Memorial University of Newfoundland（纽芬兰纪念大学）
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024
CYRUS Robotic Team（CYRUS机器人团队）；Memorial University of Newfoundland（纽芬兰纪念大学）；Sharif University of Technology（谢里夫理工大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）
针对 Soccer Simulation 2D 中部分观测与噪声问题，本文提出一种结合预测建模和交叉分析的去噪算法，并给出框架、实现及初步结果，以提升 CYRUS 队的比赛表现。
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆科技大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
本文介绍了 RoboCup 2021 2D 足球仿真冠军 CYRUS 的三大核心功能：多动作盘带、传球预测和盯人决策，分别提升了盘带成功率、团队协作和防守策略。
FC Portugal 3D Simulation Team: Team Description Paper 2020
University of Aveiro（阿威罗大学）；Faculty of Engineering of the University of Porto（波尔图大学工程学院）；Institute of Electronics and Telematics Engineering of Aveiro（阿威罗电子与遥测工程研究所）；University of Porto（波尔图大学）
HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Chinese Academy of Sciences（中国科学院大学）；School of Computer Science, Nanjing University（南京大学计算机科学学院）；School of Intelligence Science and Technology, Nanjing University（南京大学智能科学与技术学院）；School of Electrical and Automation Engineering, Nanjing Normal University（南京师范大学电气与自动化工程学院）
Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation -- Technical Report for IROS 2025 RoboSense Challenge Track 4
Tsinghua University（清华大学）；Xiaomi EV（小米电动车）；Georgia Institute of Technology（佐治亚理工学院）；National University of Singapore（新加坡国立大学）；The Chinese University of Hong Kong（香港中文大学）；Renmin University of China（中国人民大学）
