The object-recognition module that was nonmanipulator category. In the last days before the finals, the students heavily modified or replaced. For example, during the types of object that were in the actual environment. Once pixels to modify their subsystems). It is fair to say the competition served to and a flag ground-plane assumption.

Robot soccer competition provides an excellent opportunity for integrated robotics research. In particular, robot players in a soccer game must recognize and track objects in real time, navigate in a dynamic field, collaborate with teammates, and strike the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), efficient (functioning under time and resource constraints), cooperative (collaborating with each other to accomplish tasks that are beyond an individual's capabilities), and intelligent (reasoning and planning actions and perhaps learning from experience). Furthermore, all these capabilities must be integrated into a single and complete system, which raises a set of challenges that are new to individual research disciplines. This article describes our experience (problems and solutions) in these aspects. Our robots share the same general architecture and basic hardware, but they have integrated abilities to play different roles (goalkeeper, defender, or forward) and use different strategies in their behavior. Our philosophy in building these robots is to use the least sophistication to make them as robust and integrated as possible. At RoboCup-97, held as part of the Fifteenth International Joint Conference on Artificial Intelligence, these integrated robots performed well, and our DREAMTEAM won the world championship in the middle-size robot league.

's arm was ripped off midway "life forms" to win the round. Hazards could then be detected reliably. When a red life form is detected, using serial protocols. A similar Acknowledgments motor schemas, independent processes that sequence is provided for blue life forms. Georgia Tech's team was led by Tucker combine to generate an overall behavior The overall sequence of behaviors is illustrated Balch.

's performance in is driven by's development was driven by the Using Further aspects of multiagent agents could not always quickly locate and agent and team modeling. With respect to learning, as well as arenas of agent and intercept the ball or maintain awareness of teamwork, our previous work was based on team modeling (particularly to recognize positions of teammates and opponents. It then enables team members to make any decisions. Instead, all the decision Yaser Al-Onaizan, Ali Erdem, autonomously reason about coordination making rests with the higher level, Gal A. Kaminka, Stacy C. Marsella, and communication in teamwork, providing implemented in the Given its domain architecture, which takes into account the independence, it also enables reuse across recommendations made by the lower level. 's teamwork reasoning is currently test domain given its substantial also implemented in

The first Hors d'Oeuvres, Anyone? event at the Association for the Advancement of Artificial Intelligence Mobile Robot Competition was held in 1997. Five teams entered their robotic waiters into the contest. After a preliminary round to judge the safety of the robots, the robots served conference attendees at the opening reception of the Fourteenth National Conference on Artificial Intelligence.

To remain competitive, enterprises must become increasingly agile and integrated across their functions. Enterprise models play a critical role in this integration, enabling better designs for enterprises, analysis of their performance, and management of their operations. This article motivates the need for enterprise models and introduces the concepts of generic and deductive enterprise models. It reviews research to date on enterprise modeling and considers in detail the Toronto virtual enterprise effort at the University of Toronto.

Details about program does not provide any scholarship information, please contact AAAI at these programs will also be mailed to funds, and is designed for local fss@aaai.org

This article gives an overview of two recent events on the validation and verification of knowledge-based systems: (1) the 1997 European Symposium on the Verification and Validation of Knowledge-Based Systems (EUROVAV-97) and (2) the Four-teenth National Conference on Artificial Intelligence Workshop on the Verification and Validation of Knowledge- Based Systems. To give an integrated view of current research issues in this field, we organized this article along thematic lines, unifying the reports of the two separate meetings. Our report focuses on the trends that we think will be important in the near future in this field.

"environment" is a key principle of dynamic, crowded environment. The robots were "costumed" through reception area, recognition of humans, The guests Although all our competitors chose voicesynthesis one foot tall. A number of people were impressed were programmed to switch behavioral other (see figure). Robotics has since used these techniques not acknowledging humans. Credits: Directed by Barry Brian Werger. of the real world would result in numerous from walls, robots, and people; rotation for Seth Landsman, Dan Griffin, and Andy becoming involved with the other social response to "humanlike" sonar signatures.

The robot uses a layered Intelligence (AAAI-97). Twenty-one robotic architecture for integrating planning and teams participated, making this the largest action. It differs from the usual approach of robot exhibition ever. See figure 1 for a photo interfacing a planner to a reactive system in a of the exhibition participants. Since the first layered architecture because the reactive system Mobile Robot Competition and Exhibition at is replaced with a different kind of action AAAI-92, the exhibition has served to demonstrate system.