Rollover Prevention for Mobile Robots with Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety
<|reference_start|>Rollover Prevention for Mobile Robots with Control Barrier Functions: Differentiator-Based Adaptation and Projection-to-State Safety: 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.<|reference_end|>
@article{das2024rollover,
    title={Rollover Prevention for Mobile Robots with Control Barrier Functions:
  Differentiator-Based Adaptation and Projection-to-State Safety},
    author={Ersin Das, Aaron D. Ames, Joel W. Burdick},
    journal={arXiv preprint arXiv:2403.08916},
    year={2024},
    doi={10.1109/LCSYS.2024.3416239},
    archivePrefix={arXiv},
    eprint={2403.08916},
    primaryClass={eess.SY cs.RO cs.SY}
}