摘要
基于双向扩展的启发式快速扩展随机树(RRT)算法,提出了一种虚拟人手臂操控的运动规划框架。该框架根据是否抓握操控对象,将虚拟人的手臂操控划分为接触和搬运两个阶段,分别采用手臂的前向和逆向运动学两种策略进行规划,保证规划结果快速、可靠。通过实验验证了该方法的有效性。
A motion planning framework for virtual human ann manipulation was proposed based on bidirectional heuristic Rapidly-exploring Random Tree (RRT). According to whether a manipulated object was hold by hand, the framework proceeded in two phases: a reaching phase and a moving phase. Forward as well as inverse kinematic algorithm was used in these two phases respectively in order to make planning result rapid and credible. The effectiveness of our method was demonstrated by experiments.
出处
《计算机应用》
CSCD
北大核心
2009年第4期1000-1002,共3页
journal of Computer Applications
基金
国家863计划项目(2006AA110114)
关键词
虚拟人
操控规划
快速扩展随机树
启发式策略
virtual human
manipulation planning
Rapidly-exploring Random Tree (RRT)
heuristic strategy