Organizers: 
Minoru Asada (Osaka University), Manuela M. Veloso (Carnegie Mellon University), Daniele Nardi (University of La Sapienza), Daniel D. Lee (University of Pennsylvania)

Objectives:
In this tutorial, we will introduce robot soccer as a problem involving planning for the coordination among multiple robots in response to an opponent team. We will focus on presenting a variety of techniques used in robot soccer, including (i) multi-robot strategies that respond to the score of the game in a finite horizon game, (ii) role assignment through predefined and negotiated agreements; (iii) distributed state sharing and decision making; (iv) decentralized sparse interaction planning under uncertainty; and playbook generation, learning, and adaptation. The tutorial will be illustrated with RoboCup games of the different soccer leagues, namely simulation, small-size, middle-size, standard platform, and humanoids. 

       

Program :

Time	Talk
09:00 - 09:25	Opening and Talk1: Brief History of RoboCup and report from RC2016 (Minoru Asada)
09:25 - 10:00	Talk2 - An algorithm on play selection and adaptation (Manuela Veloso)
10:00 - 10:30	Coffe Break
10:30 - 11:05	Talk3 - Role Assignment Through Predefined And Negotiated Agreements (Daniel Lee)
11:05 - 11:40	Talk4 - Distributed State Sharing And Decision Making (Daniele Nardi)
11:40 - 11:50	Talk5 - A new challenge in RoboCup 2017 Nagoya (Komei Sugiura (tentative))
11:50 - 12:00	Closing (Minoru Asada)

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