描述为验证CFS自主性而开发的模拟环境

Gerardo Fernández-López, Ruel L. A. Ellis, Gerard A. J. Pounder
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引用次数: 1

摘要

本文描述了为验证认知功能合成(CFS)自主性而准备的模拟环境。环境是用V-REP模拟器开发的,并围绕“埃里克·侯麦”先锋机器人组装。模拟机器人被配置为一个基于行为的机器人,它被限制在测试区域内移动,由状态图定义,并基于Braitenberg算法提供的预配置反射。视觉传感器,即模拟摄像机,被发现比光传感器线索更适合配置这些行为。初步结果表明,模拟环境可用于CFS自主验证。这项研究标志着为研究CFS自主性而产生的第一个模拟环境,因此需要进一步验证。
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DESCRIPTION OF A SIMULATED ENVIRONMENT DEVELOPED FOR VALIDATING CFS AUTONOMY
This paper describes the simulated environment that was prepared for validation of Cognitive Function Synthesis, or CFS, Autonomy. The environment was developed with the V-REP simulator and assembled around the ‘Eric Rohmer’ Pioneer robot. The simulated robot was configured to act as a Behaviour-Based Robot that is constrained to move about the test area, as defined by a state diagram, and based on pre-configured reflexes, provided by the Braitenberg algorithm. Vision sensors, i.e. simulated cameras, were found to be better suited to configure these behaviours than light sensor cues. Initial results suggest that the simulated environment may be used for CFS autonomy validation. This research marks the first simulated environment produced for investigating CFS Autonomy and consequently needs to be further validated.
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