Title :
Sensing incline terrain for mobile robot autonomous navigation under unknown environment
Author :
Zhu, Jiang ; Wang, Yaonan ; Yu, Hongshan ; Wang, Wenge ; Wen, Yaxing
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
In order to correctly sense incline terrain, its geometrical calculated model is analyzed. Based on the change trend of distance between the mobile robot and slope, their relative position can be determined. Then a novel method which takes the use of the powerful nonlinearity approach capability of RBF network is introduced to estimate the slope of the terrain with respect to the robot´s current angular tilt. The experimental results show that the proposed approach can be used for mobile robot incline terrain perception and has the merits of easy, trustiness and robustness.
Keywords :
mobile robots; path planning; radial basis function networks; RBF network; incline terrain sensing; mobile robot autonomous navigation; radial basis function network; Cameras; Educational institutions; Mobile robots; Navigation; Neural networks; Pixel; Radial basis function networks; Robotics and automation; Solid modeling; Surface topography; Environment perception; Incline terrain; Mobile robot navigation; Unkown environment;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512426