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Journal of Sensors
Volume 2015, Article ID 425732, 14 pages
Research Article

Locomotion Strategy Selection for a Hybrid Mobile Robot Using Time of Flight Depth Sensor

Department of Robotics, School of Science and Technology, Nazarbayev University, Astana 010000, Kazakhstan

Received 29 November 2014; Accepted 22 March 2015

Academic Editor: Andreas Schütze

Copyright © 2015 Artur Saudabayev et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary material includes the video, and below is a short description for it: “The video demonstrates a real-life locomotion strategy selection experiment, where NU Hybrid Quadruped navigates through mixed terrain environment guided by the developed supervisory controller. Legged, wheeled and hybrid locomotion are switched according to the terrain type, which is recognized by classifying depth images acquired from DS-325 (DepthSense RGB-Depth camera, SoftKinetics).”

  1. Supplementary Material