Veloso, Manuela M.


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. 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.


The Twentieth National Conference on Artificial Intelligence

AI Magazine

The Twentieth National Conference on Artificial Intelligence was held July 9-13, 2005, in Pittsburgh, Pennsylvania. The conference, which marked the twenty-fifth anniversary of the Association for the Advancement of Artificial Intelligence (AAAI), received 803 submissions to the technical program. All papers were double-blind reviewed, and 150 papers were accepted for oral presentation, while 79 papers were accepted for poster presentation. The keynote address was delivered by Marvin Minsky.


RoboCup-2001: The Fifth Robotic Soccer World Championships

AI Magazine

RoboCup-2001 was the Fifth International RoboCup Competition and Conference. It was held for the first time in the United States, following RoboCup-2000 in Melbourne, Australia; RoboCup-99 in Stockholm; RoboCup-98 in Paris; and RoboCup-97 in Osaka.


Overview of RoboCup-98

AI Magazine

The Robot World Cup Soccer Games and Conferences (RoboCup) are a series of competitions and events designed to promote the full integration of AI and robotics research. Following the first RoboCup, held in Nagoya, Japan, in 1997, RoboCup-98 was held in Paris from 2-9 July, overlapping with the real World Cup soccer competition. RoboCup-98 included competitions in three leagues: (1) the simulation league, (2) the real robot small-size league, and (3) the real robot middle-size league. Champion teams were cmunited-98 in both the simulation and the real robot small-size leagues and cs-freiburg (Freiburg, Germany) in the real robot middle-size league.


CMUNITED-98 Simulator Team

AI Magazine

The CMUNITED-98 simulator team became the 1998 RoboCup simulator league champion by winning all 8 of its games, outscoring opponents by a total of 66-0. CMUNITED-98 builds on the successful cmunited-97 implementation but also improves on it in many ways. This article gives an overview of the cmunited-98 agent skill and multiagent coordination strategies, emphasizing the recent improvements.


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.


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.


CMUNITED-97: RoboCup-97 Small-Robot World Champion Team

AI Magazine

Robotic soccer is a challenging research domain that involves multiple agents that need to collaborate in an adversarial environment to achieve specific objectives. In this article, we describe CMUNITED, the team of small robotic agents that we developed to enter the RoboCup-97 competition. We designed and built the robotic agents, devised the appropriate vision algorithm, and developed and implemented algorithms for strategic collaboration between the robots in an uncertain and dynamic environment. The article then focuses on the agent behaviors, ranging from low-level individual behaviors to coordinated, strategic team behaviors.