Navigating Polytopes with Safety: A Control Barrier Function Approach

Collision-free motion is a fundamental requirement for many autonomous systems. This paper develops a safety-critical control approach for the collision-free navigation of polytope-shaped agents in polytope-shaped environments. A systematic method is proposed to generate control barrier function candidates in closed form that lead to controllers with formal safety guarantees. The proposed approach is demonstrated through simulation, with obstacle avoidance examples in 2D and 3D, including dynamically changing environments.

Publication Details

Journal
ArXiv.org
Published
2025-05-22
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Navigating Polytopes with Safety: A Control Barrier Function Approach

ArXiv.org
Robotic Path Planning Algorithms
article

Navigating Polytopes with Safety: A Control Barrier Function Approach

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Abstract

Collision-free motion is a fundamental requirement for many autonomous systems. This paper develops a safety-critical control approach for the collision-free navigation of polytope-shaped agents in polytope-shaped environments. A systematic method is proposed to generate control barrier function candidates in closed form that lead to controllers with formal safety guarantees. The proposed approach is demonstrated through simulation, with obstacle avoidance examples in 2D and 3D, including dynamically changing environments.

ArXiv.org
Openalex Percentile: Top 49%
Robotic Path Planning Algorithms
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Navigating Polytopes with Safety: A Control Barrier Function Approach · ArXiv.org (2025) | TGRS Research Map | TGRS