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Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case
Motion planning under differential constraints is a classic problem in robotics. To date, the state of the art is represented by sampling-based techniques, with the Rapidly-exploring Random Tree algorithm as a leading example. Yet, the problem is still open in many aspects, including guarantees on t...
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| Publicado no: | IEEE Int Conf Robot Autom |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4659485/ https://ncbi.nlm.nih.gov/pubmed/26618041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICRA.2015.7139514 |
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