Using Cognitive Semantics to Integrate Perception and Motion in a Behavior-Based Robot

摘要

The ADAPT project is a collaboration of three universities building a unified architecture for mobile robots. The goal of this project is to endow robots with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to solve complex problems. The perspective of this work is that such an architecture should be based on language and visualization. ADAPT is based on an the structure and semantics of language, and more specifically on algebraic linguistics and visualization of semantics. ADAPT organizes its knowledge using linguistic robot schemas, which implement linguistic units within a concurrent, distributed programming language. Each schema is associated with one or more 3D visualizations that provide its semantics. These visualizations are dynamic, and are composed within a virtual world to create ADAPTpsilas representation of itself and its environment.