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In this paper,according to the old people’s physical characteristics and their technical requirements for comfort and mastery when operating the robot,a control approach driven by tactile and slip senses is investigated to control the elderly-assistant & walking-assistant robot. First,on the basis of the proposed driving control system program of tactile and slip,a detection system of tactile and slip senses are designed. Based on the tactile and slip feature representation and extraction,an improved classification and recognition method is proposed which combines K-nearest neighbor (KNN) algorithm and K-means algorithm. And then,a robot control system based on TMS320F2812 is designed in this paper,including its hardware and software design. Then,a moving control method including the fuzzy adaptive control algorithm is presented for the walking-assistant robot to realize some different moving properties. At last,by the experimental verification in the walking-assistant robot,the research results show that the tactile and slip senses detection and recognition method is effective,and the whole control system has good feasibility and adaptability.
In this paper, according to the old people’s physical characteristics and their technical requirements for comfort and mastery when operating the robot, a control approach driven by tactile and slip senses is investigated to control the elderly-assistant & walking-assistant robot. First, on the basis of the proposed driving control system program of tactile and slip, a detection system of tactile and slip senses are designed. Based on the tactile and slip feature representation and extraction, an improved classification and recognition method is proposed which combines K-nearest neighbor And then, a robot control system based on TMS320F2812 is designed in this paper, including its hardware and software design. Then, a moving control method including the fuzzy adaptive control algorithm is presented for the walking -assistant robot to realize some different moving properties. At last, by the experimental verification in the walking-assistant robot, the resear ch results show that the tactile and slip senses detection and recognition method is effective, and the whole control system has good feasibility and adaptability.