RoboCup Tutorial: Multi-Robot Autonomy in Robot Soccer
as an Adversarial Domain
Date: October 10, 2016
Time: 9:00 AM - 12:00 PM
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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