Sheila Tejada

IJCAI Conference 2003 Conference Paper

Virtual World as Interface for Human-Robot Interaction

• Eric Normand
• Sheila Tejada

This article describes preliminary work on a research environment called Virtual Synergy to represent a shared virtual map of an area for multiple autonomous robots by modifying the GameBots 3D multi-agent system. The use of GameBots will allow multiple users to interact with robots and agents at different levels of adjustable or dynamic autonomy. By interacting with the robots as another team member, the users take on different roles to suit the situation: supervisor, peer, mechanic, teleoperator, and spectator.

AAAI Conference 1999 Short Paper

Learning to Handle Inconsistency for Multi-Source Integration

• Sheila Tejada
• Craig A. Knoblock
• Steven Minton
• University of Southern California

The goal of this research is to be able to create mapping constructs so that an information broker, like Ariadne, can use it to properly integrate data from inconsistent sources in an intelligent and efficient manner.

ICRA Conference 1998 Conference Paper

Building integrated Mobile Robots for Soccer Competition

• Wei-Min Shen
• Jafar Adibi
• Rogelio Adobbati
• Bonghan Cho
• Ali Erdem
• Hadi Moradi
• Behnam Salemi
• Sheila Tejada

Robot soccer competition provides an excellent opportunity for robotics research. In particular, robot players in a soccer game must perform real-time visual recognition, navigate in a dynamic field, track moving objects, 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 individual's capabilities), and intelligent (reasoning and planing actions and perhaps learning from experience). Furthermore, all these capabilities must be integrated into a single and complete system. To build such integrated robots, we should use different approaches from those employed in separate research disciplines. This paper describes our experience (problems and solutions) in this aspect for building soccer robots. Our robots share the same general architecture and basic hardware, but they have integrated abilities to play different roles and utilize different strategies in their behavior. Our philosophy in building these robots is to use the least possible sophistication to make them as robust as possible. In RoboCup97, our Dreamteam robots performed well (scored 8 of 9 goals of all teams in the league) and won the world championship in the middle-sized robot league.

AAAI Conference 1998 Short Paper

Handling Inconsistency for Multi-Source Integration

• Sheila Tejada

AAAI Conference 1996 Short Paper

Learning Models for Multi-Source Integration

• Sheila Tejada

Because of the growing number of information sources available through the internet there are many cases in which information needed to solve a problem or answer a question is spread across several information sources. For example, when given two sources, one about comic books and the other about super heroes, you might want to ask the question "Is Spiderman a Marvel Super Hero?" This query accesses both sources; therefore, it is necessary to have information about the relationships of the data within each source and between sources to properly access and integrate the data retrieved. The SIMS information broker captures this type of information in the form of a model. All the information sources map into the model providing the user a single interface to multiple sources.