Soccer Simulation 3D RoboCup World Cup 2016 2016-06-30 2016-07-03 The Leipziger exhibition grounds
Leipziger Messe GmbH Messe-Allee 1 Leipzig Saxony SX 04356 Germany DE
RoboCup Federation Rules Klaus Dorer klaus dot dorer at hs-offenburg dot de Stefan Glaser stefan dot glaser at hs-offenburg dot de https://chaosscripting.net Klaus Dorer klaus dot dorer at hs-offenburg dot de Stefan Glaser stefan dot glaser at hs-offenburg dot de https://chaosscripting.net 3 1 5 20 0 bahia BahiaRT BR Qualified Marco A C Simões teambahiart at gmail dot com Claudia Elizabete Ramos Emmanuel Argollo Sérgio Souza Jr. Josemar Rodrigues de Souza Diego Frias UP Unknown 1 Unknown State University of Bahia (UNEB/ACSO) BahiaRT 2016: Team Description Paper for RoboCup 3D Soccer Simulation League Marco A C Simões Claudia Elizabete Ramos Emmanuel Argollo Sérgio Souza Jr. Josemar Rodrigues de Souza Diego Frias For this year our main enhancements are related to pass strategy and defensive model. We extended our previous approaches to deal with different kind of kicks and also with the new foul model. We have also improved our movements to adapt to all heterogeneous types. Some minor optimizations in trajectory generator were also implemented to avoid some inconvenient collisions against our own goal. behrob BehRobot IR TODO Ali Ahmadi contact at behrobot dot ir Ehsan Shahri Majid Delshad UP Unknown 1 Unknown Institute of Robotics and Intelligent Systems, Islamic Azad University of Isfahan BehRobot 3D Soccer Simulation Team Description Paper 2016 Ali Ahmadi Ehsan Shahri Majid Delshad This paper presents an overview of our 3D soccer simulation team and want to give a general description of our system for the IranOpen RoboCup competitions to be held in Tehran, Iran 2016. This paper describes the software design of the 3D soccer simulation robot systems of the BehRobot Team in 2016. We have tried to focus on areas such as software architected, robot perception unit, robot controller, robot AI and behavior learning. This year, our developments for the 3D soccer simulation include: (1) the design and construction of our new Robot Artificial Intelligent (AI) Architected (2) the design and construction of a new software controller to be used in our robots. The project is described in two main parts: Software and Robot AI. The software is developed a robot application which consists walking controller, autonomous motion robot, self-localization base on vision sensor and AI part consist of Local AI and Global AI, Trajectory Planning, Motion Controller. Each agent is able to walk, run, pass, kick and dribble when it catches the ball. The project is still in progress and some new interesting methods are described in the current report. fcp FCPortugal PT Qualified Luís Paulo Reis lpreis at dsi dot uminho dot pt Nuno Lau nunolau at ua dot pt Abbas Abdolmaleki abbas.a at ua dot pt Nima Shafii nima at ua dot pt Rui Ferreira ee05188 at fe dot up dot pt Artur Pereira artur at ua dot pt David Simões david dot simoes at ua dot pt UP Unknown 1 Unknown DETI/UA - Electronics, Telecommunications and Infor matics Dep., University of Aveiro DSI/EEUM - School of Engineering, University of Minho IEETA - Institute of Electronics and Telematics Engineering of Aveiro LIACC - Artificial Intelligence and Computer Science Lab., University of Porto FC Portugal 3D Simulation Team: Team Description Paper 2016 Luís Paulo Reis Nuno Lau Abbas Abdolmaleki Nima Shafii Rui Ferreira Artur Pereira David Simões FC Portugal 3D team is developed upon the structure of our previous Simulation league 2D/3D teams and our standard platform league team. Our research concerning the robot low-level skills is focused on developing behaviors that may be applied on real robots with minimal adaptation using model-based approaches. Our research on high-level soccer coordination methodologies and team playing is mainly focused on the adaptation of previously developed methodologies from our 2D soccer teams to the 3D humanoid environment and on creating new coordination methodologies based on the previously developed ones. The research-oriented development of our team has been pushing it to be one of the most competitive over the years (World champion in 2000 and Coach Champion in 2002, European champion in 2000 and 2001, Coach 2nd place in 2003 and 2004, European champion in Rescue Simulation and Simulation 3D in 2006, World Champion in Simulation 3D in Bremen 2006 and European champion in 2007, 2012, 2013, 2014 and 2015). This paper describes some of the main innovations of our 3D simulation league team during the last years. New low-level behaviors have been developed for the simulated humanoid agent, which was based on the controlling of the dynamics of the behaviors, by using the principle of physical modeling. A new generic learning framework has also been developed, which is used on top of the low-level behaviors to tune the behavior parameters. This paper also includes general information related to the design of our agent architecture. The current research is focused on improving the current learning framework by developing new learning algorithms to optimize low-level skills performance, developing a new omnidirectional kick engine and integrating high-level coordination mechanisms. Very good results were already achieved, in previous years concerning the improvement of low-level skills, the use of high level coordination methodologies and the use of machine learning methodologies. futk FUT-K JP Qualified Kosuke Onda Teruya Yamanishi UP Unknown 1 Unknown Department of Management Information Science, Fukui University of Technology FUT-K Team Description Paper 2016 Kosuke Onda Teruya Yamanishi This paper describes the long kick motion followed walking without pause after approaching the ball and the defense strategy to stop a point lost for agents of FUT-K in the simulation league of RoboCup 3D Soccer. Here, it is mentioned on a quick kick motion over a long distance obtained using a method of Covariance Matrix Adaptation Evolution Strategy, and also a prediction of the ball motion from the long kick by the opposition in order to stop the goal. hfut HfutEngine3D CN Qualified Yue Huang Hanzhe Wang Chen Sun Baofu Fang UP Unknown 1 Unknown School of Computer and Information, Hefei University of Technology HfutEngine3D Soccer Simulation Team Description Paper 2016 Yue Huang Hanzhe Wang Chen Sun Baofu Fang This paper simply describes the architecture of HfutEngine3D team. In order to control a biped robot with high degree of freedom to get faster and more stable, we devide our team into four parts: InformationHandle, MotionHandle, WorldmodelHandle, StrategyHandle. Additionally, we use a closed-loop control method of an omnidirectional walking model of humanoid robots which based on Cerebellar Mode Articulation Controller (CMAC) to achieve a steady and fast omnidirectional walk. inv Invictus3D IR TODO Amirhosein Izadjoo Sbceinvictus3d at gmail dot com Farzad Jafari Aghdam Behdad Ahmadi Neishaboori Mojtaba karimi Nia Mohammad Hosein Musavi Mohammad Reza Gomar Ardeshir Shojaie Nasab UP Unknown 1 Unknown Shahid Beheshti University In the name of God - Invictus3D RoboCup 3D Simulation League Team Description Paper 2016 Amirhosein Izadjoo Farzad Jafari Aghdam Behdad Ahmadi Neishaboori Mojtaba karimi Nia Mohammad Hosein Musavi Mohammad Reza Gomar Ardeshir Shojaie Nasab This paper describes the ideas, and research carried out through novel algorithms used by the Invictus3D soccer simulation team aiming to optimize the performance of humanoid soccer agents. Our agent’s performance is currently based on several physical and AI algorithms used for localization and skills such as walking and kicking which will be briefly explained in this paper. ita ITAndroids BR Qualified Alexandre Muzio ax dot muzio at gmail dot com Dicksiano Melo dicksianomelo at gmail dot com Eduardo Henrique eduardo dot hferreiras at gmail dot com Francisco Muniz munizfco at gmail dot com Ian Marzzo iannlibos at gmail dot com José Lucas Saraiva jlucas dot saraiva at gmail dot com Luckeciano Melo luckeciano at gmail dot com Luis Guilherme Aguiar luisgspy at gmail dot com Marcos Maximo maximo dot marcos at gmail dot com Matheus Bertolino matheusbertolino1 at gmail dot com UP Unknown 1 Unknown Aeronautics Institute of Technology, São José dos Campos ITAndroids Soccer3D Team Description Paper 2016 Alexandre Muzio Dicksiano Melo Eduardo Henrique Francisco Muniz Ian Marzzo José Lucas Saraiva Luckeciano Melo Luis Guilherme Aguiar Marcos Maximo Matheus Bertolino ITAndroids was reestablished in mid-2011 by undergraduate students at Aeronautics Institute of Technology. Since then, the team is growing fast and has already established itself as a strong robotics competition group, winning several competitions in Brazil and Latin America. This technical paper describes our latest efforts regarding humanoid robots. Moreover, we discuss our plans for future development. kgp KgpKubs IN Qualified Akshay Gupta akshaysngupta at gmail dot com Shrey Garg shrey91 at gmail dot com Abhinav Agarwal Nishant Nikhil Vaibhav Agarwal Ishaan Sang UP Unknown 1 Unknown Indian Institute of Technology KgpKubs Team Description Paper Robocup 3D Simulation League 2016 Akshay Gupta Shrey Garg Abhinav Agarwal Nishant Nikhil Vaibhav Agarwal Ishaan Sang This paper describes the developments by Kgpkubs team in order to compete in Robocup 3D Simulation League 2016. This is the first time we are participating in an International Humanoid related event. This paper describes the working of the High Level Strategy which we have implemented using Delaunay Triangulation and Inter Robot Communication. magma magmaOffenburg DE Qualified Klaus Dorer klaus dot dorer at hs-offenburg dot de Jens Fischer Stefan Glaser stefan dot glaser at hs-offenburg dot de Duy Nguyen Michael Obrecht David Weiler UP Unknown 1 Unknown Elektrotechnik-Informationstechnik, Hochschule Offenburg The magmaOffenburg 2016 RoboCup 3D Simulation Team Klaus Dorer Jens Fischer Stefan Glaser Duy Nguyen Michael Obrecht David Weiler After having described many different aspects of our team software in previous years, in this paper we take the freedom to describe the magmaChallenge framework provided by the magmaOffenburg team. The framework is used as a benchmark tool to run different challenges like the running challenge in 2014 or the kick accuracy challenge in 2015. This description should serve as a documentation to simplify the maintenance by the community and to add new benchmarks in the future. mi Miracle3D CN Qualified KunPeng Zhao miracle dot hftc at gmail dot com UP Unknown 1 Unknown School of Computer Science and Technology - Heifei Normal University Miracle 3D Soccer Simulation Team Description 2016 KunPeng Zhao This paper simply describes the architecture of Miracle 3D team. In order to control a biped robot with high degree of freedom to get smart, I decide use a dynamic value to map the Court, And use Logistic Regression and Gradient ascent algorithm. nexus Nexus3D IR TODO Mahdi Abolfazli Esfahani nexus at um dot ac dot ir Mahdi Alehdaghi Naser Erfani Hamed Ghayour Saeid Askari Hamid Sajjadi Soroush Farokhnia UP Unknown 1 Unknown Nexus Simulation and Modeling Lab, Department of Computer Engineering, Ferdowsi University of Mashhad Nexus3D Team Description Paper Mahdi Abolfazli Esfahani Mahdi Alehdaghi Naser Erfani Hamed Ghayour Saeid Askari Hamid Sajjadi Soroush Farokhnia Nexus3D has participated in a varieties of soccer simulation competitions since 2003. These competitions are a platform in which we test and enhance our research in the field of AI and robotics and also compare our results and achievements to the state of the art. In this paper, we present a brief description for our current work on Nexus3D team. We have used inverse kinematics for walking and movements of robot and both CMA-ES and genetic algorithm for our optimization. canes RoboCanes US Withdrawn Kyle Poore robocanes at cs dot miami dot edu Andreas Seekircher Joe Masterjohn Pedro Peña Nasir Laskar Ubbo Visser UP Unknown 1 Unknown Department of Computer Science, University of Miami RoboCup 3D Simulation League Team Description Paper 2016 Kyle Poore Andreas Seekircher Joe Masterjohn Pedro Peña Nasir Laskar Ubbo Visser ut UTAustinVilla US Qualified Patrick MacAlpine patmac at cs dot utexas dot edu Peter Stone pstone at cs dot utexas dot edu UP Unknown 1 Unknown Department of Computer Science, The University of Texas at Austin UT Austin Villa 3D Simulation Soccer Team 2016 Patrick MacAlpine Peter Stone This paper describes the research focus and ideas incorporated in the UT Austin Villa 3D simulation soccer team entering the RoboCup competitions in 2016. teamcomp Team Competition ut futk fcp bahia magma ita kgp mi hfut SR Seeding Round A Group A futk bahia magma ita kgp 1 2016-06-30 Cluster 1 00:10:00 bahia UP futk UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-06-30 Cluster 1 00:10:00 magma UP bahia UP UP First Half Log Second Half Log First Half Replay Second Half Replay Part 1 Second Half Replay Part 2 3 2016-06-30 Cluster 1 00:10:00 kgp UP magma UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 4 2016-06-30 Cluster 1 00:10:00 ita UP UP kgp UP UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay 5 2016-06-30 Cluster 1 00:10:00 ita UP futk UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay 6 2016-06-30 Cluster 1 00:10:00 magma UP futk UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 7 2016-06-30 Cluster 1 00:10:00 kgp UP bahia UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 8 2016-06-30 Cluster 1 00:10:00 ita UP magma UP UP First Half Log Second Half Log First Half Replay Second Half Replay 9 2016-06-30 Cluster 1 00:10:00 kgp UP futk UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 10 2016-06-30 Cluster 1 00:10:00 ita UP bahia UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay B Group B ut fcp mi hfut 1 2016-06-30 Cluster 2 00:10:00 fcp UP UP ut UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-06-30 Cluster 2 00:10:00 hfut UP fcp UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay Part 1 Second Half Replay Part 2 Second Half Replay Part 3 3 2016-06-30 Cluster 2 00:10:00 mi UP hfut UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 First Half Replay Part 3 First Half Replay Part 4 Second Half Replay 4 2016-06-30 Cluster 2 00:10:00 mi UP ut UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 5 2016-06-30 Cluster 2 00:10:00 hfut UP ut UP UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay First Half Replay Second Half Replay Second Half Replay 6 2016-06-30 Cluster 2 00:10:00 mi UP fcp UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay R1 Round 1 C Group C fcp futk magma kgp hfut 1 2016-07-01 Cluster 1 00:10:00 magma UP futk UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-07-01 Cluster 1 00:10:00 kgp UP magma UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 3 2016-07-01 Cluster 1 00:10:00 fcp UP UP UP UP UP UP UP UP kgp UP First Half Log Second Half Log First Half Replay Second Half Replay 4 2016-07-01 Cluster 1 00:10:00 hfut UP fcp UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 First Half Replay Part 3 Second Half Replay 5 2016-07-01 Cluster 1 00:10:00 hfut UP futk UP UP UP UP UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay 6 2016-07-01 Cluster 1 00:10:00 kgp UP futk UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 7 2016-07-01 Cluster 1 00:10:00 fcp UP UP UP magma UP First Half Log Second Half Log First Half Replay Second Half Replay 8 2016-07-01 Cluster 1 00:10:00 hfut UP kgp UP UP UP First Half Log Second Half Log First Half Replay First Half Replay Second Half Replay 9 2016-07-01 Cluster 1 00:10:00 fcp UP UP futk UP UP First Half Log Second Half Log First Half Replay Second Half Replay 10 2016-07-01 Cluster 1 00:10:00 hfut UP magma UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay D Group D ut bahia ita mi 1 2016-07-01 Cluster 2 00:10:00 mi UP ut UP UP UP UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-07-01 Cluster 2 00:10:00 bahia UP UP UP UP UP UP mi UP First Half Log Second Half Log First Half Replay Second Half Replay 3 2016-07-01 Cluster 2 00:10:00 ita UP bahia UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 4 2016-07-01 Cluster 2 00:10:00 ita UP ut UP UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 5 2016-07-01 Cluster 2 00:10:00 bahia UP ut UP UP UP UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay 6 2016-07-01 Cluster 2 00:10:00 ita UP UP mi UP UP First Half Log Second Half Log First Half Replay Second Half Replay ko Elimination Group mi kgp hfut 1 2016-07-01 Cluster 1 00:10:00 hfut UP UP kgp UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay Part 1 Second Half Replay Part 2 2 2016-07-01 Cluster 1 00:10:00 kgp UP UP mi UP UP First Half Log Second Half Log First Half Replay Second Half Replay 3 2016-07-01 Cluster 1 00:10:00 mi UP UP UP hfut UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay R2 Round 2 E Group E fcp bahia magma mi 1 2016-07-02 Cluster 1 00:10:00 magma UP fcp UP UP First Half Log Second Half Log First Half Replay Second Half Replay Part 1 Second Half Replay Part 2 2 2016-07-02 Cluster 1 00:10:00 bahia UP magma UP First Half Log Second Half Log First Half Replay Second Half Replay 3 2016-07-02 Cluster 1 00:10:00 mi UP bahia UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 4 2016-07-02 Cluster 1 00:10:00 mi UP fcp UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 5 2016-07-02 Cluster 1 00:10:00 bahia UP UP fcp UP First Half Log Second Half Log First Half Replay Second Half Replay 6 2016-07-02 Cluster 1 00:10:00 mi UP magma UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 7 2016-07-02 Cluster 1 00:10:00 magma UP fcp UP UP First Half Log Second Half Log First Half Replay Second Half Replay 8 2016-07-02 Cluster 1 00:10:00 bahia UP magma UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 9 2016-07-02 Cluster 1 00:10:00 mi UP bahia UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 10 2016-07-02 Cluster 1 00:10:00 mi UP fcp UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 11 2016-07-02 Cluster 1 00:10:00 bahia UP UP fcp UP UP First Half Log Second Half Log First Half Replay Second Half Replay 12 2016-07-02 Cluster 1 00:10:00 mi UP magma UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay F Group F ut futk ita kgp 1 2016-07-02 Cluster 2 00:10:00 ita UP ut UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-07-02 Cluster 2 00:10:00 futk UP UP UP UP UP UP UP UP UP UP UP UP ita UP First Half Log Second Half Log First Half Replay Second Half Replay 3 2016-07-02 Cluster 2 00:10:00 kgp UP futk UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 4 2016-07-02 Cluster 2 00:10:00 kgp UP ut UP UP UP UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay Part 1 Second Half Replay Part 2 5 2016-07-02 Cluster 2 00:10:00 futk UP ut UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 6 2016-07-02 Cluster 2 00:10:00 kgp UP ita UP First Half Log Second Half Log First Half Replay Second Half Replay 7 2016-07-02 Cluster 2 00:10:00 ita UP ut UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 8 2016-07-02 Cluster 2 00:10:00 futk UP UP UP UP UP UP UP ita UP First Half Log Second Half Log First Half Replay Second Half Replay 9 2016-07-02 Cluster 2 00:10:00 kgp UP futk UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 10 2016-07-02 Cluster 2 00:10:00 kgp UP ut UP UP UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 11 2016-07-02 Cluster 2 00:10:00 futk UP ut UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 12 2016-07-02 Cluster 2 00:10:00 kgp UP ita UP UP First Half Log Second Half Log First Half Replay Second Half Replay SF Semi Finals 1 2016-07-03 Cluster 1 00:10:00 fcp UP UP futk UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-07-03 Cluster 1 00:10:00 bahia UP ut UP UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay PL Places 5to8 1 2016-07-03 Cluster 1 00:10:00 magma UP UP UP UP UP ita UP First Half Log Second Half Log First Half Replay Second Half Replay 2 2016-07-03 Cluster 2 00:10:00 mi UP UP kgp UP First Half Log Second Half Log First Half Replay Part 1 First Half Replay Part 2 Second Half Replay Part 1 Second Half Replay Part 2 TRD 3rd Place 1 2016-07-03 Cluster 1 00:10:00 fcp UP UP bahia UP First Half Log Second Half Log First Half Replay Second Half Replay F Final 1 2016-07-03 Cluster 1 00:10:00 futk UP ut UP UP UP UP UP First Half Log Second Half Log First Half Replay Second Half Replay teamchal Team Challenge ut fcp magma futk bahia kgp ka Keep-Away Challenge ut futk fcp magma bahia Attempt 1 Seconds ut 2016-07-01 235.39 fcp 2016-07-01 35.40 magma 2016-07-01 35.76 bahia 2016-07-01 17.50 futk 2016-07-01 108.95 Attempt 2 Seconds ut 2016-07-01 152.56 fcp 2016-07-01 33.04 magma 2016-07-01 20.86 bahia 2016-07-01 17.26 futk 2016-07-01 38.04 Attempt 3 Seconds ut 2016-07-01 223.55 fcp 2016-07-01 80.78 magma 2016-07-01 24.86 bahia 2016-07-01 13.52 futk 2016-07-01 140.09 free Free/Scientiffic Challenge ut fcp magma bahia futk kgp ut Marking using Prioritized Role Assignment Patrick MacAlpine Peter Stone fcp Learning a Humanoid Kick For Different Ball positions with Respect to the Robot Abbas Abdolmaleki David Simões Nuno Lau Luís Paulo Reis magma Learning a Kick while Walking in Raw Actuator Space Klaus Dorer Viktor Kurz bahia BahiaRT 2016 Free/Scientific: A Dynamic Defensive System for 3D Soccer Simulation League Emmanuel Argollo Marco A C Simões Claudia Elizabete Ramos Sérgio Souza Jr. Josemar Rodrigues de Souza Diego Frias futk Prevent Long Kick Pass Kosuke Onda kgp Rule Based Passing in Multi Agent Humanoid Abhinav Agarwal Nishant Nikhil Here we will discuss how to select best teammate to pass ball in multi agent robo soccer. We will use a score based approach for choosing best teammate to pass. We will consider various factors including our expected kick distance, players position and orientation etc. Finally we will discuss how to combine all of above mentioned parameters to select the best player. Jury 1 ut 2016-06-30 6 fcp 2016-06-30 8 magma 2016-06-30 4 bahia 2016-06-30 10 futk 2016-06-30 2 Jury 2 ut 2016-06-30 10 fcp 2016-06-30 6 magma 2016-06-30 8 bahia 2016-06-30 4 futk 2016-06-30 2 Team 1 ut 2016-06-30 3 fcp 2016-06-30 2 magma 2016-06-30 5 bahia 2016-06-30 4 futk 2016-06-30 1 Team 2 ut 2016-06-30 2 fcp 2016-06-30 5 magma 2016-06-30 4 bahia 2016-06-30 3 futk 2016-06-30 1 Team 3 ut 2016-06-30 5 fcp 2016-06-30 2 magma 2016-06-30 3 bahia 2016-06-30 4 futk 2016-06-30 1 Team 4 ut 2016-06-30 3 fcp 2016-06-30 4 magma 2016-06-30 1 bahia 2016-06-30 2 futk 2016-06-30 5 Team 5 ut 2016-06-30 3 fcp 2016-06-30 5 magma 2016-06-30 4 bahia 2016-06-30 2 futk 2016-06-30 1 Team 6 ut 2016-06-30 5 fcp 2016-06-30 3 magma 2016-06-30 4 bahia 2016-06-30 2 futk 2016-06-30 1 gazebo Gazebo Challenge ut fcp magma futk Run 1 Meters per Second ut 2016-07-02 1.01 fcp 2016-07-02 0.62 magma 2016-07-02 0.44 futk 2016-07-02 0 Run 2 Meters per Second ut 2016-07-02 1.20 fcp 2016-07-02 0.59 magma 2016-07-02 0.26 futk 2016-07-02 0 Run 3 Meters per Second ut 2016-07-02 1.03 fcp 2016-07-02 0.67 magma 2016-07-02 0.43 futk 2016-07-02 0 Run 4 Meters per Second ut 2016-07-02 1.20 fcp 2016-07-02 0.63 magma 2016-07-02 0.44 futk 2016-07-02 0 Run 5 Meters per Second ut 2016-07-02 1.16 fcp 2016-07-02 0.61 magma 2016-07-02 0.40 futk 2016-07-02 0