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Policy Library CBF: Finite-Horizon Safety at Runtime via Parallel Rollouts

Summary

This paper proposes Policy Library Control Barrier Function (PL-CBF), a runtime safety filter that evaluates a library of fallback policies via parallel finite-horizon rollouts, selects the least invasive safe mode, and enforces safety via a quadratic program. Theoretical analysis using a finite-horizon language metric characterizes policy-library coverage requirements. Simulations on various systems demonstrate improved safety coverage over single-policy filters while maintaining millisecond-level runtime.

SourcearXiv RoboticsAuthor: Taekyung Kim, Hideki Okamoto, Bardh Hoxha, Georgios Fainekos, Dimitra Panagou
Policy Library CBF: Finite-Horizon Safety at Runtime via Parallel Rollouts
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[2605.16588] Policy Library CBF: Finite-Horizon Safety at Runtime via Parallel Rollouts

[Submitted on 15 May 2026]

Title:Policy Library CBF: Finite-Horizon Safety at Runtime via Parallel Rollouts

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Abstract:Safety-critical autonomy in unstructured environments poses significant challenges for online safety certification under evolving constraints. We propose Policy Library Control Barrier Function~(PL-CBF), a runtime safety filter that evaluates a library of fallback policies via parallel finite-horizon rollouts, selects the least invasive safe mode, and enforces safety by solving a quadratic program that minimally modifies a nominal policy. We provide a theoretical analysis based on a finite-horizon language metric over closed-loop behaviors, characterizing policy-library coverage requirements for certifying finite-horizon safety. Simulations on a planar double-integrator (4 states), highway driving with abrupt friction changes using a realistic nonlinear vehicle model (8 states), and 3D quadrotor navigation in crowded dynamic environments (12 states) demonstrate improved safety coverage over single-policy safety filters while retaining millisecond-level runtime.

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Subjects:

Robotics (cs.RO); Systems and Control (eess.SY)

Cite as: arXiv:2605.16588 [cs.RO]

(or arXiv:2605.16588v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2605.16588

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Taekyung Kim [view email] [v1] Fri, 15 May 2026 19:45:52 UTC (4,520 KB)

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Key points and analysis

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Key points

  • PL-CBF evaluates multiple fallback policies in parallel to select the minimally invasive safe action at runtime.
  • It achieves better safety coverage than single-policy filters across diverse scenarios.
  • A novel finite-horizon language metric provides theoretical guarantees for policy library coverage.

Highlights and analysis are generated automatically and may contain errors. Check the original source.