The following paper describes the ChaMeleons-01 Robocup 2001 simulation league team. Development was concentrated in two main areas: the design and implementation of an action-selection architecture and the development of the online coach. The architecture was designed in such a way to support

, and furrows. During tracking, detailed parametric descriptions of the facial features are extracted. With these parameters as the inputs, a group of action units (neutral expression, six upper face AUs and 10 lower face AUs) are recognized whether they occur alone or in combinations. The system has achieved

We describe the i-LAND environment which constitutes an example of our vision of the workspaces of the future, in this case supporting cooperative work of dynamic teams with changing needs. i-LAND requires and provides new forms of human-computer interaction and new forms of computer

descriptions of this conflict, but they do not systematically identify the mechanisms by which conflict is engendered in distributed teams. In this paper, we develop a theory-based explanation of how geographical distribution provokes team-level conflict. We do

empirical analysis of your data, analytical models, annotated decision matrix, preliminary lead concept sketches, final design description, annotated parts drawings, and test results.

Abstract. This paper explains the scientific achievement of our Robocup Hu-manoid league team. We are able to transfer our knowledge into the robot hardware that will be used in the humanoid robot soccer game. With the current robot design, the robot can achieve a fast dynamic walk. We implement a

Abstract. This paper explains the scientific achievement of our Robocup Humanoid league team. We are able to transfer our knowledge into the robot hardware that will be used in the humanoid robot soccer game. With the current robot design, the robot can achieve two walking mode- static walk

Witsenhausen's hyperbola bound for the multiple description problem without excess rate in case of a binary source is not right for exact joint reproductions. However, this bound is tight for almost--exact joint reproductions (Theorem 1, conjectured by Witsenhausen). The proof is based

Abstract. This paper describes the main features of the UvA Trilearn soccer simulation team, which participated for the first time at the RoboCup-2001 competition. The main concepts of the previous teams will be addressed, followed by the improvements introduced in UvA Trilearn 2003. These include

Abstract This paper describes the main reasearch activities of the robot soccer team “Brainstormers Tribots”. Improvements have been made in the field of efficient sensor fusion, self-learning robots, and stereo vision. 1