PERCEPTION
ADAPT: A Cognitive Architecture for Robotics
D. Paul Benjamin, Damian M. Lyons, Deryle Lonsdale
- Year
- 2004
- Citations
- 41
Abstract
ADAPT (Adaptive Dynamics and Active Perception for Thought) is a cognitive architecture specifically designed for robotics. The ADAPT architecture is in the initial state of development. ADAPT manipulates a hierarchy of perceptual and planning schemas that include explicit temporal information and that can be executed in parallel. Perception is active, which means that all perceptual processing is goaldirected and context-sensitive, even down to the raw sensory data. This paper describes the components of ADAPT and how it differs from a number of existing cognitive architectures.
Keywords
Cognitive roboticsCognitive architectureComputer scienceRoboticsArchitectureArtificial intelligencePerceptionHierarchyCognitionContext (archaeology)
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002