Motion robot planning in dynamic environment based on iraproved artificial potential field method
Qin Ke, Sun Mao-xiang, Changzhi Sun · Shenyang Gongye Daxue xuebao · 2004
This paper propose a kind of improved artificial potential field method applied in the dynamic environment. Two aspects of the traditional artificial potential field method are improred with this methocl: Using the potential field intensity-based method to replace the vector confusion method; Combining the motion information into the repulsive force function, which transform the static artificial field function to the dynamic artificial field function. Using this method, moving obstacle avoidance can be performed more efficiently.