Control Barrier Functions for Prescribed-Time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes

Prescribed-time reach-avoid-stay (PT-RAS) specifications are crucial in applications requiring precise timing, state constraints, and safety guarantees. While control carrier functions (CBFs) have emerged as a promising approach, providing formal guarantees of safety, constructing CBFs that satisfy PT-RAS specifications remains challenging. In this paper, we present a novel approach using a spatiotemporal tubes (STTs) framework to construct CBFs for PT-RAS tasks. The STT framework allows for the systematic design of CBFs that dynamically manage both spatial and temporal constraints, ensuring that the system remains within a safe operational envelope while achieving the desired temporal objectives. The proposed method is validated with two case studies: temporal motion planning of an omnidirectional robot and temporal waypoint navigation with obstacles for a multi-UAV payload carrying setup, using higher-order CBFs.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11186887
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
2.43
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article

Control Barrier Functions for Prescribed-Time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes

Ratnangshu Das, Pushpak Jagtap, Pranav Bakshi
2 citations
Stability and Control of Uncertain Systems
2.43
article

Control Barrier Functions for Prescribed-Time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes

Ratnangshu Das, Pushpak Jagtap, Pranav Bakshi
article en
2 citations

Abstract

Prescribed-time reach-avoid-stay (PT-RAS) specifications are crucial in applications requiring precise timing, state constraints, and safety guarantees. While control carrier functions (CBFs) have emerged as a promising approach, providing formal guarantees of safety, constructing CBFs that satisfy PT-RAS specifications remains challenging. In this paper, we present a novel approach using a spatiotemporal tubes (STTs) framework to construct CBFs for PT-RAS tasks. The STT framework allows for the systematic design of CBFs that dynamically manage both spatial and temporal constraints, ensuring that the system remains within a safe operational envelope while achieving the desired temporal objectives. The proposed method is validated with two case studies: temporal motion planning of an omnidirectional robot and temporal waypoint navigation with obstacles for a multi-UAV payload carrying setup, using higher-order CBFs.

Indian Institute of Technology Kharagpur (IN), Robert Bosch (India) (IN)
Openalex Percentile: Top 9%
Stability and Control of Uncertain Systems
2.43
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