Robust Signal Temporal Logic-based Planning for Uncertain External Events

Shumpei Tokuda, Masaki Yamakita, Hiroyuki Oyama, Rin Takano
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Abstract

We propose a new nonlinear optimization-based method for signal temporal logic (STL) specification with uncertain external events. STL provides a simple way to express complex task specifications for robotic and cyber-physical systems. Event-based STL is an extension of STL and can describe the response to external events, which should be considered in practical applications. We define smooth robustness functions for event-based STL specifications and formulate a nonlinear optimization problem for event-based STL specifications. Our method introduces augmented continuous variables for external events into the optimization problem to generate robust trajectories for uncertain external events that may occur. We demonstrate the effectiveness of our method through numerical simulations.
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针对不确定外部事件的基于时态逻辑的鲁棒信号规划
我们为具有不确定外部事件的信号时序逻辑(STL)规范提出了一种基于非线性优化的新方法。STL 为表达机器人和网络物理系统的复杂任务规范提供了一种简单的方法。基于事件的 STL 是 STL 的扩展,可以描述对外部事件的响应,这在实际应用中应该予以考虑。我们为基于事件的 STL 规范定义了平滑鲁棒性函数,并为基于事件的 STL 规范提出了一个非线性优化问题。我们的方法在优化问题中引入了外部事件的增强连续变量,从而为可能发生的不确定外部事件生成稳健轨迹。我们通过数值模拟证明了我们方法的有效性。
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