Optimization design for eye-in-hand robotics Based on A New Binocular Stereo Vision Servoing Model
This paper presents an attractive image-based visual servoing approach for eye-in-hand robotic systems based on new binocular stereo vision servoing model.The major contribution of this work is in devising an optimization controller to control the velocity of the camera and GMC(Generic Model Control) is introduced to confirm the output trajectory of the system.The scheme does not deed to know the geometry model of the system.By selecting proper parameters to adjust transient time,the time for the output to follow prearranged track,is adjusted.Asymptotic convergence of the image errors to zero is proved by Lyapunov theory.Simulation results are presented for 6 DOF eye-in-hand system,which clearly show the validity of the proposed approach.
eye-in-hand GMC optimization controller Binocular Stereo Vision Servoing Model
Jin Mei Jin Ju Hao Guangpu
Measurement Technology and Instrumentation Key lab of Hebei Province,Yanshan university,Qinhuangdao School of Civil Engineering,Hebei University of Technology,Tianjin 300132,China Hebei Vocational & Technical College of Building Materials,Qinhuangdao 066004,China
国际会议
沈阳
英文
566-569
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）