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Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer
Research article (2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023) · cited 17× · AI/ML
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer
Summary
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer is a scholarly article[1].
Key Facts
Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-proprioceptive-slip-velocity-aware-state-estimation-for-mobile-robots-via-invariant-kalman-filtering-and-disturban
MLA“Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-proprioceptive-slip-velocity-aware-state-estimation-for-mobile-robots-via-invariant-kalman-filtering-and-disturban.
BibTeX@misc{4ortxyz_fully-proprioceptive-slip-velocity-aware-state-estimation-for-mobile-robots-via-invariant-kalman-filtering-and-disturban_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer}}, year = {2026}, url = {https://4ort.xyz/entity/fully-proprioceptive-slip-velocity-aware-state-estimation-for-mobile-robots-via-invariant-kalman-filtering-and-disturban}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer — https://4ort.xyz/entity/fully-proprioceptive-slip-velocity-aware-state-estimation-for-mobile-robots-via-invariant-kalman-filtering-and-disturban (retrieved 2026-05-24)
