Paper Info
Title
A software framework for multi player robot games
Abstract
Robot games have been proposed as a way to motivate people to do physical exercises while playing. Although this area is very new, both commercial and scientific robot games have been developed mainly based on interaction with a single user and a robot. The goal of this paper is to describe a generic software framework which can be used to create games where multiple players can play against a mobile robot. The paper shows how an adaptive AI system (D2) developed for real-time strategy (RTS) computer games can be successfully applied in a robotics context using the robotics control framework Player/Stage. D2 is based on Case-Based Planning which learns from demonstration. Using the proposed framework, the paper shows how a robot learns a strategy for an implementation of a simple game.
Year
DOI
Venue
2010
10.1007/978-3-642-17248-9_14
Lecture Notes in Computer Science
Keywords
DocType
Volume
robotics control framework player,real-time strategy,multi player robot game,generic software framework,proposed framework,robot game,mobile robot,adaptive ai system,robotics context,case-based planning,scientific robot game,artificial intelligence,robot learning,software framework,physical exercise,artificial intelligent,human robot interaction,robot control,games
Conference
6414
ISSN
ISBN
Citations 
0302-9743
3-642-17247-4
1
PageRank 
References 
Authors
0.36
14
2
Name
Order
Citations
PageRank
Søren Tranberg Hansen1203.11
Santiago Ontañón261978.32