Roboser: A Real-World Composition System

Manzolli, Jônatas; Verschure, Paul F. M. J.

doi:10.1162/0148926054798133

Cited by 24 publications

(12 citation statements)

References 20 publications

(29 reference statements)

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“…The autonomous real-world music composition system RoBoser (Manzolli and Verschure 2005) is an integration of CurvaSom, an algorithmic computer-based composition system, with iqr and the DAC model of learning and memory.…”

Section: Further Projectsmentioning

confidence: 99%

iqr: A Tool for the Construction of Multi-level Simulations of Brain and Behaviour

Bernardet

Verschure

2010

Neuroinform

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The brain is the most complex system we know of. Despite the wealth of data available in neuroscience, our understanding of this system is still very limited. Here we argue that an essential component in our arsenal of methods to advance our understanding of the brain is the construction of artificial brain-like systems. In this way we can encompass the multi-level organisation of the brain and its role in the context of the complete embodied real-world and real-time perceiving and behaving system. Hence, on the one hand, we must be able to develop and validate theories of brains as closing the loop between perception and action, and on the other hand as interacting with the real world. Evidence is growing that one of the sources of the computational power of neuronal systems lies in the massive and specific connectivity, rather than the complexity of single elements. To meet these challenges-multiple levels of organisation, sophisticated connectivity, and the interaction of neuronal models with the real-world-we have developed a multi-level neuronal simulation environment, iqr. This framework deals with these requirements by directly transforming them into the core elements of the simulation environment itself. iqr provides a means to design complex neuronal models graphically, and to visualise and analyse their properties on-line. In iqr connectivity is defined in a flexible, yet compact way, and simulations run at a high speed, which allows the control of real-world devices-robots in the broader sense-in real-time. The architecture of iqr is modular, providing the possibility to write new neuron, and synapse types, and custom interfaces to other hardware systems. The code of iqr is publicly accessible under the GNU General Public License (GPL). iqr has been in use since 1996 and has been the core tool for a large number of studies ranging from detailed models of neuronal systems like the cerebral cortex, and the cerebellum, to robot based models of perception, cognition and action to large-scale real-world systems. In addition, iqr has been widely used over many years to introduce students to neuronal simulation and neuromorphic control. In this paper we outline the conceptual and methodological background of iqr and its design philosophy. Thereafter we present iqr's main features and computational properties. Finally, we describe a number of projects using iqr, singling out how iqr is used for building a "synthetic insect".

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Section: Further Projectsmentioning

confidence: 99%

iqr: A Tool for the Construction of Multi-level Simulations of Brain and Behaviour

Bernardet

Verschure

2010

Neuroinform

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“…As information and communication technologies evolved, complex architectures were developed, such as Blackboard architecture (Laske, 1990), or multi-agent systems (Delgado et al, 2009). With the WWW, client-server systems appeared (Manzolli and Verschure, 2005;Jordá and Wust, 2001;Bryan-Kinns, 2004;Alvaro et al, 2005;Manara et al, 2005;Ló pez et al, 2010;Wassermann et al, 2000) providing a single server-side application and thus avoiding installation in local computers. However, this setup had some disadvantages, like losing the whole control over every element of the system, and a limitation in the set of resources available in the server.…”

Section: Introductionmentioning

confidence: 99%

A new cloud computing architecture for music composition

Alvaro¹,

Barros²

2013

Journal of Network and Computer Applications

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“…These events will be used to modify the performance controls of JaVOX, an evolutionary environment applied to sound production [2]. Like others, AURAL belongs to that kind of systems that combine the behavior of mobile robots with sound events [3,4,5]. The OmniEye [6] occupies an important role in AURAL, for it is the "observer" being used to feedback the robot localization.…”

Section: Introductionmentioning

confidence: 99%

OmniEye: A Spherical Omnidirectional Vision System to Sonify Robotic Trajectories in the AURAL Environment

Moroni¹,

Cunha²,

Ramos³

et al. 2009

Artificial Intelligence Techniques for Computer Graphics

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Abstract. This paper describes the OmniEye, an omnidirectional vision system developed to track mobile robots in AURAL, a computational structured environment. AURAL aims to control the interaction between visual, sound and robotic information in a research for automatic and semi-automatic processes of artistic production. Different convex mirrors can be used to achieve an omnidirectional system. The use of a spherical mirror in this case introduces distortions in the image. A toolbox for the calibration of central omnidirectional cameras was used to obtain a first estimation for the imaging function. On a second step, a genetic algorithm was applied to adjust the coefficients of the imaging function. Experimental results and the application of the OmniEye for translating robotic paths into sound events in the AURAL environment are described.

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Roboser: A Real-World Composition System

Cited by 24 publications

References 20 publications

iqr: A Tool for the Construction of Multi-level Simulations of Brain and Behaviour

iqr: A Tool for the Construction of Multi-level Simulations of Brain and Behaviour

A new cloud computing architecture for music composition

OmniEye: A Spherical Omnidirectional Vision System to Sonify Robotic Trajectories in the AURAL Environment

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