制御バリア関数による移動ロボットの転倒防止:微分器ベース適応と状態射影安全
Rollover Prevention for Mobile Robots with Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety
移動ロボットの転倒防止のため、ゼロモーメントポイント条件を制御バリア関数で扱い、時変・ノイズを含むパラメータを微分器で推定しつつ厳密な安全保証を与える手法を提案し、急斜面での実験で有効性を示した。
著者: Ersin Das, Aaron D. Ames, Joel W. Burdick
分類: eess.SY, cs.RO, cs.SY
原文アブストラクト
This paper develops rollover prevention guarantees for mobile robots using control barrier function (CBF) theory, and demonstrates the method experimentally. We consider a safety measure based on a zero moment point condition through the lens of CBFs. However, these conditions depend on time-varying and noisy parameters. To address this issue, we present a differentiator-based safety-critical controller that estimates these parameters and pairs Input-to-State Stable (ISS) differentiator dynamics with CBFs to achieve rigorous safety guarantees. Additionally, to ensure safety in the presence of disturbances, we utilize a time-varying extension of Projection-to-State Safety (PSSf). The effectiveness of the proposed method is demonstrated via experiments on a tracked robot with a rollover potential on steep slopes.
関連論文
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