A new minirobotics system for teaching and researching agent-based programming

Authors:
Rodrigo da Silva Guerra;Joschka Boedecker;Norbert Michael Mayer;Shinzo Yanagimachi;Hiroshi Ishiguro;Minoru Asada
Affiliations:
Osaka University, Osaka, Japan;Osaka University, Osaka, Japan;Osaka University, Osaka, Japan;Citizen Holdings Co., Ltd.;Osaka University, Osaka, Japan;Osaka University, Osaka, Japan
Venue:
CATE '07 Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education
Year:
2007

Citing 7
Cited 2

Three-dimensional computer vision: a geometric viewpoint

Three-dimensional computer vision: a geometric viewpoint
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer

Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
Qualitative Velocity and Ball Interception

KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Using RoboCup in university-level computer science education

Journal on Educational Resources in Computing (JERIC) - Special issue on robotics in undergraduate education. Part 1
Mindstorms: children, computers, and powerful ideas

Mindstorms: children, computers, and powerful ideas
Using the max-plus algorithm for multiagent decision making in coordination graphs

RoboCup 2005
Robust and accurate detection of object orientation and ID without color segmentation

RoboCup 2005

MR-simulator: a simulator for the mixed reality competition of RoboCup

RoboCup 2010
Active interaction utilizing micro mobile robot and on-line data gathering for experiments in cricket pheromone behavior

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work describes a novel minirobotics system which incorporates mature technology proven efficient over the years in multi-agent robotic soccer competitions into a new versatile research and educational platform. We describe the technical aspects supporting this multi-agent robotic framework, and as an example application, we describe a method for introducing agent based programming concepts as a hands-on experience targeted at inexperienced students learning C as their first programming language.