Aquila 2.0 software architecture for cognitive robotics
Martin Peniak, Anthony Morse, Angelo Cangelosi
- 发表年份
- 2013
- 引用次数
- 5
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991