Lipschitz Continuity of Signal Temporal Logic Robustness Measures: Synthesizing Control Barrier Functions from One Expert Demonstration
Prithvi Akella, Apurva Badithela, Richard M. Murray, and Aaron D. Ames

TL;DR
This paper introduces a method to synthesize control barrier functions from a single demonstration by leveraging the Lipschitz continuity of STL robustness measures, ensuring safety specifications are met.
Contribution
It proves Lipschitz continuity of STL robustness and uses this property to synthesize control barrier functions from one expert demonstration.
Findings
Successfully applied on Robotarium platform
Ensures system safety via control barrier functions
Provides a constructive synthesis method
Abstract
Control Barrier Functions (CBFs) allow for efficient synthesis of controllers to maintain desired invariant properties of safety-critical systems. However, the problem of identifying a CBF remains an open question. As such, this paper provides a constructive method for control barrier function synthesis around one expert demonstration that realizes a desired system specification formalized in Signal Temporal Logic (STL). First, we prove that all STL specifications have Lipschitz-continuous robustness measures. Second, we leverage this Lipschitz continuity to synthesize a time-varying control barrier function. By filtering control inputs to maintain the positivity of this function, we ensure that the system trajectory satisfies the desired STL specification. Finally, we demonstrate the effectiveness of our approach on the Robotarium.
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Taxonomy
TopicsFormal Methods in Verification · Safety Systems Engineering in Autonomy · Logic, programming, and type systems
