python控制nao机器人身体动作实例详解

yipeiwu_com6年前Python基础

本文实例为大家分享了python控制nao机器人身体动作的具体代码,供大家参考,具体内容如下

今天读的代码,顺便写了出来,与文档的对比,差不多。

import sys
import motion
import almath
import naoqi from ALProxy
 
def StiffnessOn(proxy):
        pName="Body"
        pStiffnessLists
        pTime=1.0
        proxy.stiffnessInterpolation(pName,pStiffnessLists,pTime)
 
def main(robotIP):
        try:
               motionProxy=ALProxy("ALMotion",robotIP,9559)
        except Exception,e:
               print:"could not create a proxy!"
               print:"error is ",e
               
        try:
               postureProxy=ALProxy("ALRobotPosture",robotIP,9559)
        except Exception,e:
               print:"could not create a proxy!"
               print:"error is ",e
 
        StiffnessOn(motionProxy)
        postureProxy.goToPosture("StandInit",0.5)
 
        space=motion.FRAME_ROBOT
        coef=0.5
        times=[coef,2.0*coef,3.0*coef,4.0*coef]
        isAbsolute=False
        dy=+0.06
        dz=-0.03
        dwx==+0.30
 
        effector="Torso"
        path=[
               [0.0,-dy,dz,-dwx,0.0,0.0],
               [0.0,0.0,0.0,0.0,0.0,0.0],
               [0.0,+dy,dz,+dwx,0.0,0.0],
               [0.0,0.0,0.0,0.0,0.0,0.0]
              ]
 
        axisMask=almath.AXIS_MASK_ALL
        motionProxy.post.postionInterpolation(effector,space,path,times,isAbsolute)
 
        #motion of arms with block process
        axisMask=almath.AXIS_MASK_VEL
        times=[1.0*coef,2.0*coef]
        dy=+0.03
        effecor="RArm"
        path=[
               [0.0,dy,0.0,0.0,0.0,0.0],
               [0.0,0.0,0.0,0.0,0.0,0.0]
              ]
        motionProxy.positionInterpolation(effector,space,path,axisMask,times,inAbsolute)
 
if __name__=="__main__":
        robotIP="127.0.0.1"
 
        if len(sys.argv)<=1:
               print"useage default robotIP"
        else:
               robotIP=sys.arv[1]
        main(robotIP)

实例二,控制左右胳膊

#-*-encoding:UTF-8 -*-
 
import sys
import motion
import almath
form naoqi import ALProxy
 
def StiffnessOn(proxy):
        pName="Body"
        pStiffnessLists=1.0
        pTimeLists=1.0
        proxy.stiffnessInterpolation(pName,pStiffnessLists,pTimeLists)
 
def main(robotIP):
 
        #create a proxy to almtion
        try:
               motionProxy=ALProxy("ALMotion",robotIP,9559)
        except Exception,e:
               print "could not create a proxy"
               print "error is ",e
 
        #create a proxy to alrobotposture
        try:
               postureProxy=ALProxy("ALRobotPosture",robotIP,9559)
        except Exception,e:
               print "could not create a proxy"
               print "error is ",e
 
 
        StiffnessOn(motionProxy)
        postureProxy.goToPosture("StandInit",0.5)
        space=motion.FRAME_ROBOT
        isAbsolute=False
 
        effectorList=["LArm","RArm"]
        #motion of arms with block process
        axisMaskList=[almath.AXIS_MASK_VEL,almath.AXIS_MASK_VEL]
        timeLists=[[1.0],[1.0]]
        pathList=[   
                  [
                    [0.0,-0.04,0.0,0.0,0.0,0.0]],
                  [ 
                    [0.0,0.04,0.0,0.0,0.0,0.0]]
                ]
        motionProxy.positionInterpolation(effectorLists,space,pahtLists,axisMaskList,timeLists,isAbsolute)
 
        effectorLists=["LArm","RArm","Torso"]
        axisMaskLists=[
               almath.AXIS_MASK_VEL,
               almath.AXIS_MASK_VEL,
               almath.AXIS_MASK_ALL
               ]
        timeLists=[
               [[0.0,0.0,0.0,0.0,0.0,0.0]],
               [[0.0,0.0,0.0,0.0,0.0,0.0]],
               [0.0,+dy,0.0,0.0,0.0,0.0],
               [0.0,-dy,0.0,0.0,0.0,0.0],
               [0.0,0.0,0.0,0.0,0.0,0.0]
               ]
        motionProxy.positionInterpolations(effectorList,space,pathList,axisMaskList,timeList,isAbsolute)
 
if __name__=="__main__":
        robotIP="127.0.0.1"
        if(sys.argv<1):
               print"usege default ip"
        else:
               robotIP=sys.arv[1]
        main(robotIP)

感受:

这些小的程序最不好处理的就是path中的数据了。这些数据是怎么获得的?最大的可能就是在choregraph中3D视图中测试得到,当然还有一种可能就是将choregraph与实体机连接,将机器人置于practice状态,这样操作来获得数据。后者操作性更强,但由于实际原因,用前者的可能性是最大的。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python中的五种异常处理机制介绍

从几年前开始学习编程直到现在,一直对程序中的异常处理怀有恐惧和排斥心理。之所以这样,是因为不了解。这次攻python,首先把自己最畏惧和最不熟悉的几块内容列出来,里面就有「异常处理」这一...

python NumPy ndarray二维数组 按照行列求平均实例

我就废话不多说了,直接上代码吧! c = np.array([[1, 2, 3, 4], [4, 5, 6, 7], [7, 8, 9, 10]]) print(c.mean(axi...

python实现批量改文件名称的方法

本文实例讲述了python实现批量改文件名称的方法。分享给大家供大家参考。具体分析如下: 发现python中提供了大量的模块函数,有时候一些系统操作在python中非常简单 下面的文件关...

基于scrapy的redis安装和配置方法

在定向爬虫的制作过程中,使用分布式爬取技术可以显著提高爬取效率。而 Redis 配合 Scrapy 是实现分布式爬取的基础。 Redis 是一个高性能的 Key-Value 数据库,它把...

python判断单向链表是否包括环,若包含则计算环入口的节点实例分析

python判断单向链表是否包括环,若包含则计算环入口的节点实例分析

本文实例讲述了python判断单向链表是否包括环,若包含则计算环入口的节点。分享给大家供大家参考,具体如下: 关于数据结构相关的面试题,经常会问到链表中是否存在环结构的判断,下图就是存在...