本文对冗余机器人的运动学路径规划进行了研究。
In this thesis, some issues on path planning of kinematical redundant robots are studied.
研究表明运动学规划在冗余机器人研究领域起到了非常重要的作用方向。
It shows that the kinematical planning play a very important role in the research field of redundant robots.
针对空间冗余机器人运动学控制中正、逆运动学求解的复杂性，采用神经网络从两方面解决这一问题。
Neural network is used in this paper to solve the problem of kinematics and inverse kinematics in kinematical control of spatial redundant robots.
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