An AOP-Based Robot Behaviors Safety Checking Method

Binbin Ge, Xinjun Mao, Yin Chen, Shuo Yang, Sen Yang
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引用次数: 1

Abstract

A robot is a typical cyber-physical system whose behaviors are driven and controlled by software which are highly related with robot safety. In order to ensure the safety of robot behaviors, programmers need to embed safety logic into the programs in charge of behaviors. This paper proposes an AOP-based robot behaviors safety checking method to ensure robot behaviors safety at the programming level, which treats the safety constraints as a crosscutting concern to be automatically and transparently managed, thus enabling programmers to focus on the design of the robot behaviors themselves rather than safety. This paper considers two types of safety issues, stability and collision, and proposes corresponding algorithms for ensuring them at runtime. Experiments with real humanoid robots show that the method can effectively ensure the safety of robot behaviors with respect to the specified physical constraints.
基于aop的机器人行为安全检测方法
机器人是一个典型的网络物理系统,其行为是由软件驱动和控制的,这与机器人的安全性密切相关。为了保证机器人行为的安全性,程序员需要在负责行为的程序中嵌入安全逻辑。本文提出了一种基于aop的机器人行为安全检查方法,从编程层面确保机器人行为的安全性,该方法将安全约束作为横切关注点进行自动透明的管理,使编程人员能够专注于机器人行为本身的设计而不是安全。本文考虑了稳定性和碰撞两类安全问题,并提出了相应的运行时安全保障算法。仿真实验表明,该方法能有效地保证机器人在给定物理约束条件下的安全行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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