This study aims to provide a platform for exploring robotic navigation in line with evolutionary computation of sound control data. Real world devices, two mobile robots and an omnidirectional vision system are integrated to sonify trajectories of robots in real time.

Ada is an entertainment exhibit that is able to interact with many people simultaneously, using a language of light and sound. "She " received 553,700 visitors over 5 months during the Swiss Expo.02 in 2002. In this paper we present the broad motivations, design and technologies behind Ada, and a first overview of the outcomes of the exhibit.

Evolutionary concepts are being used to support the implementation of higher level information processing devices than could be easily built by human design. We introduce an input device that proved to be appropriate for the study of human perception. The sequence of judgments can be captured to simulate an objective function. The repeated interaction between user and computer allows the user to search hyperspaces of possible solutions without being required to design equations by hand or even understand them. Two musical environments, Vox Populi, an evolutionary composition system, and InstrumentAll, a combined hardware and software musical interface, are briefly described.

Despite immense progress in neuroscience, we remain restricted in our ability to construct autonomous behaving robots that match the competence of even simple animals. The barriers to the realisation of this goal include: the lack of knowledge of system integration issues, engineering limitations and organisational constraints common to many research laboratories. In this paper we describe our approach to addressing these issues by constructing an artificial organism within the framework of the Ada project - a large-scale public exhibit for the Swiss Expo.02 national exhibition.

A mathematical model for interactive sound synthesis based on the application of Genetic Algorithms (GA) is presented. The Evolutionary Sound Synthesis Method (ESSynth) generates sequences of waveform variants by the application of genetic operators on an initial population of waveforms. We describe how the waveforms can be treated as genetic code, the fitness evaluation methodology and how genetic operations such as crossover and mutation are used to produce generations of waveforms. Finally, we discuss the results evaluating the generated sounds.

This paper presents an end-user interface that allows real time parametric control of sound events. It is an interactive environment in which evolutionary computation is applied to algorithmic composition. This system uses genetic algorithms to generate and evaluate a sequence of chords played as MIDI data. Melodic, harmonic and voice range fitness are used to control musical features. Based on the ordering of consonance of musical intervals, the notion of approximating a sequence of notes to its harmonically compatible note or tonal center is used. This method employs a fuzzy formalism and is posed as an optimization approach based on factors relevant to hearing music.