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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...
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| Publicado no: | Front Robot AI |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805780/ https://ncbi.nlm.nih.gov/pubmed/33501235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.00068 |
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