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A computational framework for the simulation, verification, and synthesis of force-guided robotic assembly strategies

机译:用于模拟,验证和合成力引导机器人装配策略的计算框架

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Robotic assemblies are inherently hybrid systems. This paper pursues a class of multitiered peg-in-hole assemblies that we call "peg-in-maze" assemblies. These assemblies require a force-responsive, low-level controller governing physical contacts plus a decision-making, strategic-level supervisor monitoring the overall progress. To capture this dichotomy we formulate hybrid automata, where each state represents a different force-controlled "behavior" and transitions between states encode the high-level strategy of the assembly. Our over-arching goal is to produce a computational framework for the simulation, verification, and synthesis of such force-guided robotic assembly strategies. We investigate the use of three general hybrid-systems software tools (Hybrid cc, HyTech, and CEtool) for the simulation and verification of these strategies. We describe the computational environment we developed at Case to synthesize and implement real-world assembly strategies.
机译:机器人组件是固有的混合系统。本文追求一类我们称之为“PEG-In-in-in-in-Maze”组件的多元钉孔组件。这些组件需要一个强制响应的低级控制器,管理物理接触以及决策,战略级主管监控整体进度。为了捕获这种二分法,我们制定混合自动机,其中每个状态代表不同的力控制的“行为”,并且状态之间的转换编码组件的高级策略。我们的过度拱起目标是为这种力引导的机器人装配策略进行仿真,验证和合成来生产计算框架。我们调查使用三种通用混合系统软件工具(混合CC,Hytech和Cetool)进行模拟和验证这些策略。我们描述了我们开发的计算环境,以综合和实施现实世界的装配策略。

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