认知机器人的Aquila 2.0软件架构

M. Peniak, Anthony F. Morse, A. Cangelosi
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引用次数: 5

摘要

各种认知技能和模式的整合建模需要复杂和计算密集型的算法并行运行,同时控制高性能系统。跨多台计算机的处理分布无疑推动了我们的软件生态系统,并为研究开辟了新的可能性。虽然这是一个必要的举措,但我们渴望通过提供Aquila 2.0来增强认知机器人领域,Aquila 2.0是一种新型的高性能软件架构,利用跨平台、异构CPU-GPU模块与用于模块管理和数据可视化的gui松散耦合。
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Aquila 2.0 software architecture for cognitive robotics
The modelling of the integration of various cognitive skills and modalities requires complex and computationally intensive algorithms running in parallel while controlling high-performance systems. The distribution of processing across many computers has certainly advanced our software ecosystem and opened up research to new possibilities. While this was an essential move, we are aspiring to augment the field of cognitive robotics by providing Aquila 2.0, a novel hi-performance software architecture utilising cross-platform, heterogeneous CPU-GPU modules loosely coupled with GUIs used for module management and data visualisation.
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