dc.contributor.author | Saudabayev, A. | |
dc.contributor.author | Kungozhin, F. | |
dc.contributor.author | Nurseitov, D. | |
dc.contributor.author | Varol, H. A. | |
dc.date.accessioned | 2015-11-04T03:30:59Z | |
dc.date.available | 2015-11-04T03:30:59Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 9786018046728 | |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/719 | |
dc.description.abstract | Three fundamental locomotion configurations recognized commonly are legged, wheeled, and articulated mechanisms using which a mobile robot can navigate terrains. Hybrid configurations enable execution of different locomotion types separately and in combinations. Such advantage usually implies complexity and necessity in a robust supervisory controller capable of terrain recognition and locomotion strategy selection. We developed the Nazarbayev University (NU) Hybrid Quadruped (Fig. 1) - mobile robot with four legs and wheels. Project's major novelty is the implementation of the supervisory controller which selects a locomotion mode associated with particular terrain types based on its terrain recognizer input data. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | Nazarbayev University | ru_RU |
dc.subject | locomotion strategy | ru_RU |
dc.subject | supervisory controller | ru_RU |
dc.subject | terrain recognizer | ru_RU |
dc.subject | depth images | ru_RU |
dc.subject | robot | ru_RU |
dc.title | Locomotion strategy selection for a legged wheeled hybrid quadruped using depth images | ru_RU |
dc.type | Abstract | ru_RU |