实时分布式具身智能系统集成研发环境

A. Ceravola, F. Joublin, Mark Dunn, J. Eggert, Marcus Stein, C. Goerick
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引用次数: 21

摘要

在智能系统领域,研究和设计方法从预定义的体系结构到自组织系统各不相同。不管采用何种架构方法,这样的系统可能会在规模和复杂性上增长到人们的能力受到强烈挑战的程度。这类系统通常是在多种软件工具的帮助下,按照几种方法进行研究、设计和开发的。在本文中,我们想描述我们的研究和开发环境。它由一套工具组成,这些工具支持我们的研究,使我们能够开发用于机器人和测试平台的大规模智能系统。我们的研发环境主要包括:组件模型BBCM(脑字节组件模型)和BBDM(脑字节数据模型)、中间件RTBOS(实时脑操作系统)、监控系统CMBOS(控制-监控脑操作系统)和设计环境DTBOS(脑操作系统设计工具)。我们将把我们的研发环境与市场上其他可用的或仍在研究阶段的环境进行比较,我们将描述我们的一些实验
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems
In the field of intelligent systems, research and design approaches vary from predefined architectures to self-organizing systems. Regardless of the architectural approach, such systems may grow in size and complexity to levels where the capacities of people are strongly challenged. Such systems are commonly researched, designed and developed following several methods and with the help of a variety of software tools. In this paper we want to describe our research and development environment. It is composed of a set of tools that support our research and enable us to develop large scale intelligent systems used in our robots and in our test platforms. The main parts of our research and development environment are: the component models BBCM (brain bytes component model) and BBDM (brain bytes data model), the middleware RTBOS (real-time brain operating system), the monitoring system CMBOS (control-monitor brain operating system) and the design environment DTBOS (design tool for brain operating system). We will compare our research and development environment with others available on the market or still in research phase and we will describe some of our experiments
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