Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory-Reference-Cited by-同舟云学术

Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory

Published:2022-12-15 Issue: Volume: Page:349-367
ISSN:2511-1256
Container-title:Algorithmic Foundations of Robotics XV
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Author:

Chou Glen,Ozay Necmiye,Berenson Dmitry

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21090-7_21

Reference30 articles.

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2. Bahreinian, M., Mitjans, M., Tron, R.: Robust sample-based output-feedback path planning. In: IROS, pp. 5780–5787. IEEE (2021)

3. Bonnabel, S., Slotine, J.E.: A contraction theory-based analysis of the stability of the deterministic extended kalman filter. TAC 60(2), 565–569 (2015)

4. Calliess, J.: Conservative decision-making and inference in uncertain dynamical systems (2014)

5. Chou, G., Ozay, N., Berenson, D.: Model error propagation via learned contraction metrics for safe feedback motion planning of unknown systems. CDC (2021)

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