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The CS Freiburg Team: Playing Robotic Soccer Based on an Explicit World Model

AI Magazine

Robotic soccer is an ideal task to demonstrate new techniques and explore new problems. Our intention in building a robotic soccer team and participating in RoboCup-98 was, first, to demonstrate the usefulness of the self-localization methods we have developed. Second, we wanted to show that playing soccer based on an explicit world model is much more effective than other methods. Third, we intended to explore the problem of building and maintaining a global team world model.


Three RoboCup Simulation League Commentator Systems

AI Magazine

Three systems that generate real-time natural language commentary on the RoboCup simulation league are presented, and their similarities, differences, and directions for the future discussed. Although they emphasize different aspects of the commentary problem, all three systems take simulator data as input and generate appropriate, expressive, spoken commentary in real time.


Vision, Strategy, and Localization Using the Sony Robots at RoboCup-98

AI Magazine

Sony has provided a robot platform for research and development in physical agents, namely, fully autonomous legged robots. In this article, we describe our work using Sony's legged robots to participate at the RoboCup-98 legged robot demonstration and competition. Robotic soccer represents a challenging environment for research in systems with multiple robots that need to achieve concrete objectives, particularly in the presence of an adversary. We introduce the RoboCup context and briefly present Sony's legged robot.


1999 Bar Illan Symposium on the Foundations of Artificial Intelligence

AI Magazine

I report here on the sixth meeting, held in June 1999. The Bar Ilan Symposia on the Foundations of Artificial Intelligence are a series of research meetings held in Israel every two years. I report here on the sixth meeting, held in June 1999.


CMUNITED-98: RoboCup-98 Small-Robot World Champion Team

AI Magazine

The CMUNITED small-robot team became the 1998 RoboCup small-robot league champion, repeating its 1997 victory. This article gives an overview of the cmunited-98 team, focusing on this year's improvements.


AAAI-98 Robot Exhibition

AI Magazine

The robot exhibition had a very successful 1998. The exhibition also included a published video proceedings for the first time. From a mechanical point of view, indoor wheeled robots were, as usual, the most common form of robot, but the exhibit also featured several outdoor wheeled robots, several legged robots, two humanoids, a snake, and a plant. From a software perspective, the exhibit featured general-purpose robot-control software, vision, teleoperation, language learning, teamwork and expression of emotion.


Using Robot Competitions to Promote Intellectual Development

AI Magazine

The three competitions -- (1) AAAI Mobile Robot, (2) AUVS Unmanned Ground Robotics, and (3) IJCAI RoboCup -- were used in different years for an introductory undergraduate robotics course, an advanced graduate robotics course, and an undergraduate practicum course. Based on these experiences, a strategy is presented for incorporating competitions into courses in such a way as to foster intellectual maturation as well as learn lessons in organizing courses and fielding teams. The article also provides a classification of the major robot competitions and discusses the relative merits of each for educational projects, including the expected course level of computer science students, equipment needed, and costs.


Vision, Strategy, and Localization Using the Sony Robots at RoboCup-98

AI Magazine

Sony has provided a robot platform for research and development in physical agents, namely, fully autonomous legged robots. In this article, we describe our work using Sony's legged robots to participate at the RoboCup-98 legged robot demonstration and competition. Robotic soccer represents a challenging environment for research in systems with multiple robots that need to achieve concrete objectives, particularly in the presence of an adversary. Furthermore, RoboCup offers an excellent opportunity for robot entertainment. We introduce the RoboCup context and briefly present Sony's legged robot. We developed a vision-based navigation and a Bayesian localization algorithm. Team strategy is achieved through predefined behaviors and learning by instruction.


Three RoboCup Simulation League Commentator Systems

AI Magazine

The information it provides a dynamic, real-time environment units resulting from such an analysis in which it is still relatively easy for tasks to be encode a deeper understanding of the timevarying classified, monitored, and assessed. Moreover, scene to be described. They include a commentary system has severe time restrictions spatial relations for the explicit characterization imposed by the flow of the game and is of spatial arrangements of objects as well thus a good test bed for research into real-time as representations of recognized object movements.


Workshop on Intelligent Information Integration (III-99)

AI Magazine

The Workshop on Intelligent Information Integration (III), organized in conjunction with the Sixteenth International Joint Conference on Artificial Intelligence, was held on 31 July 1999 in Stockholm, Sweden. Approximately 40 people participated, and nearly 20 papers were presented. This packed workshop schedule resulted from a large number of submissions that made it difficult to reserve discussion time without rejecting an unproportionately large number of papers. Participants included scientists and practitioners from industry and academia. Topics included query planning, applications of III, mediator architectures, and the use of ontologies for III.