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Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios
In this paper, we present a modular and flexible state estimation framework for legged robots operating in real-world scenarios, where environmental conditions, such as occlusions, low light, rough terrain, and dynamic obstacles can severely impair estimation performance. At the core of the proposed...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805780/ https://www.ncbi.nlm.nih.gov/pubmed/33501235 http://dx.doi.org/10.3389/frobt.2020.00068 |