日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2505.17270

Navigating Polytopes with Safety: A Control Barrier Function Approach

Navigating Polytopes with Safety: A Control Barrier Function Approach

シェア:XThreadsFacebookLINEはてブBluesky

著者: Tamas G. Molnar

分類: eess.SY, cs.RO, cs.SY

原文アブストラクト

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.