Title :
An intelligent cane walker robot based on force control
Author :
Haiyang Wang;Baiqing Sun;Xuetang Wu;Hao Wang;Zhuoyang Tang
Author_Institution :
Shenyang University of Technology School of Electrical Engineering No. 111, Shenliaoxi Road, TieXi District Shenyang, P.R. China
fDate :
6/1/2015 12:00:00 AM
Abstract :
In this research, an intelligent cane walker robot is proposed to assist walking comfortably and conveniently. Firstly, a dynamic model describing the robot walking is established to analysis the relationship between input from user and output from sensors. Then the user´s intention is obtained via the neural network by making the research on application of the movement and analyzing the information of force and status in ordinary cane. The intelligent cane walker robot can be designed in line with user´s gait and intention. What´s more, the strategy based on the force control is proposed to improve the accuracy of movement. Simulation results of robot movement show that, the strategy is efficient and feasible.
Keywords :
"Force","Legged locomotion","Robot sensing systems","Neural networks","Aging","Artificial intelligence"
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
DOI :
10.1109/CYBER.2015.7288137