SS04-01-031.pdf

AAAI Conferences

This paper describes the design and implementation of a new, simplified, entry-level RoboCup league and its integration into an introductory robotics and artificial intelligence curriculum. This E-League allows teams to focus on individual aspects such as hardware platform development or multi agent coordination, because the league provides modular solutions for several components and lets teams concentrate on chosen area(s) instead of requiring that all teams solve all aspects of a coordinated RoboCup team.


CMRoboBits: Creating an Intelligent AIBO Robot

AI Magazine

CMRoboBits is a course offered at Carnegie Mellon University that introduces students to all the concepts needed to create a complete intelligent robot. In particular, the course focuses on the areas of perception, cognition, and action by using the Sony AIBO robot as the focus for the programming assignments. This course shows how an AIBO and its software resources make it possible for students to investigate and work with an unusually broad variety of AI topics within a single semester. While material presented in this article describes using AIBOs as the primary platform, the concepts presented in the course are not unique to the AIBO and can be applied on different kinds of robotic hardware.


Pyro: An Integrated Environment for Robotics Education

AAAI Conferences

Pyro, which stands for Python Robotics, is a Python-based robotics programming environment that enables students to explore topics in robotics. Programming robot behaviors in Pyro is akin to programming in a high-level general purpose programming language; Pyro provides abstractions for low-level robot-specific features much like the abstractions provided in high-level programming languages. Consequently, robot control programs written for a small robot (such as K-Team's hockey puck sized, infrared-based Khepera robot) can be used, without any modifications, to control a much larger robot (such as ActivMedia's human-scale, laser-based PeopleBot). This represents an advance over previous robot programming methodologies in which robot programs were written for specific motor controllers, sensors, communications protocols and other low-level features. Programming robot behaviors is carried out using the programming language Python, which enables several additional pedagogical benefits. We have developed an extensive set of robot programming modules, modeling techniques, and learning materials that can be used in graduate and undergraduate curricula in a variety of ways. Currently, Pyro supports K-Team's Kheperas, ActivMedia's Pioneer class robots (including PeopleBot and AmigoBot robots), Player/Stage based robots (including Evolution's ER1 and many others), the Handyboard, RWI's Mobility-based B21R, and simulators for all of these. Currently, many other robots are also being ported to Pyro, including Sony's Aibo, K-Team's inexpensive Hemisson, and the Robocup Soccer Server Simulator.


Development and Deployment of a Disciple Agent for Center of Gravity Analysis

AAAI Conferences

This paper presents new significant advances in the Disciple approach for building knowledge-based systems by subject matter experts. It describes the innovative application of this approach to the development of an agent for the analysis of strategic centers of gravity in military conflicts. This application has been deployed in several courses at the US Army War College, and its use has been evaluated. The presented results are those of a multifaceted research and development effort that synergistically integrates research in Artificial Intelligence, Center of Gravity analysis, and practical deployment of an agent into Education.


Development and Deployment of a Disciple Agent for Center of Gravity Analysis

AAAI Conferences

This paper presents new significant advances in the Disciple approach for building knowledge-based systems by subject matter experts. It describes the innovative application of this approach to the development of an agent for the analysis of strategic centers of gravity in military conflicts. This application has been deployed in several courses at the US Army War College, and its use has been evaluated. The presented results are those of a multifaceted research and development effort that synergistically integrates research in Artificial Intelligence, Center of Gravity analysis, and practical deployment of an agent into Education.