Non-uniform Sampled Motion Planning for Continuous-time STL
Guang Yang, Calin Belta, Roberto Tron

TL;DR
This paper introduces an offline motion planning approach for linear cyber-physical systems that satisfy continuous-time STL specifications using non-uniform control updates, formulated as a Mixed-integer Program.
Contribution
It proposes a novel method to compute bounds of Control Barrier Functions and predicates for satisfying spatial and temporal requirements in motion planning.
Findings
Validated in numerical examples
Effective handling of non-uniform control updates
Ensures satisfaction of STL specifications
Abstract
This paper presents an offline motion planner for linear cyber-physical systems that satisfy a continuous-time Signal Temporal Logic (STL) specification, in which controls are applied in a Zeroth-order Hold (ZOH) manner. The motion planning problem is formulated as a Mixed-integer Program (MIP) with nonuniform control updates. We develop a novel method to obtain bounds of Control Barrier Functions (CBF) and linear predicates to render both spatial and temporal requirements. The theoretical results are validated in numerical examples.
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Taxonomy
TopicsFormal Methods in Verification · Real-Time Systems Scheduling · Robotic Path Planning Algorithms
