The sequencing of data flow tasks in SIGNAL: application to active vision in robotics
作者： E. Rutten , E. Marchand , F. Chaumette
DOI: 10.1109/EMWRTS.1994.336861
关键词: Automatic control 、 Active vision 、 Distributed computing 、 Artificial intelligence 、 Computer science 、 SIGNAL (programming language) 、 Task (computing) 、 Theoretical computer science 、 Data flow diagram 、 Robotics 、 Control system 、 Parallel processing (DSP implementation)
摘要: Many applications of real-time systems feature a combination "continuous" (possibly sampled) and discrete (sequencing task control) behaviors, both reactive to the evolutions execution environment. In particular, robotics involve programming control functions for each task, sequencing such tasks at higher level. framework synchronized data-flow language SIGNAL, we propose extensions based on time intervals, enabling specification tasks, their suspension or abortion in reaction events. This paper illustrates application these constructs active vision robotics, where successive phases have be sequenced, associated with particular law, order recognise complex >
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