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Python Navigation.velocitiesToNextSubtarget方法代码示例

本文整理汇总了Python中navigation.Navigation.velocitiesToNextSubtarget方法的典型用法代码示例。如果您正苦于以下问题:Python Navigation.velocitiesToNextSubtarget方法的具体用法?Python Navigation.velocitiesToNextSubtarget怎么用?Python Navigation.velocitiesToNextSubtarget使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在navigation.Navigation的用法示例。


在下文中一共展示了Navigation.velocitiesToNextSubtarget方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: from navigation import Navigation [as 别名]
# 或者: from navigation.Navigation import velocitiesToNextSubtarget [as 别名]

#.........这里部分代码省略.........
        self.produceSpeedsMotorSchema()

      # Create the commands message
      twist = Twist()
      twist.linear.x = self.linear_velocity
      twist.linear.y = 0
      twist.linear.z = 0
      twist.angular.x = 0 
      twist.angular.y = 0
      twist.angular.z = self.angular_velocity

      # Send the command
      self.velocity_publisher.publish(twist)

      # Print the speeds for debuggind purposes
      if self.print_velocities == True:
        print "[L,R] = [" + str(twist.linear.x) + " , " + \
            str(twist.angular.z) + "]"

    # Produce speeds from sonars
    def produceSpeedsSonars(self):
      # Get the sonars' measurements
      front   = self.sonar_aggregation.sonar_front_range
      left    = self.sonar_aggregation.sonar_left_range
      right   = self.sonar_aggregation.sonar_right_range
      r_left  = self.sonar_aggregation.sonar_rear_left_range
      r_right = self.sonar_aggregation.sonar_rear_right_range
        
      linear  = 0
      angular = 0

      # YOUR CODE HERE ------------------------------------------------------
      # Adjust the linear and angular velocities using the five sonars values

      # ---------------------------------------------------------------------

      return [linear, angular]

    # Produces speeds from the laser
    def produceSpeedsLaser(self):

      # Get the laser scan
      scan   = self.laser_aggregation.laser_scan
        
      linear  = 0
      angular = 0

      # YOUR CODE HERE ------------------------------------------------------
      # Adjust the linear and angular velocities using the laser scan

      # ---------------------------------------------------------------------

      return [linear, angular]

    # Combines the speeds into one output using a subsumption approach
    def produceSpeedsSubsumption(self):
      
      # Produce target if not existent
      if self.move_with_target == True and self.navigation.target_exists == False:
        self.navigation.selectTarget()

      # Get the submodules' speeds
      [l_sonar, a_sonar] = self.produceSpeedsSonars()
      [l_laser, a_laser] = self.produceSpeedsLaser()
      [l_goal, a_goal] = self.navigation.velocitiesToNextSubtarget()

      self.linear_velocity  = 0
      self.angular_velocity = 0

      # Combine the speeds following the subsumption architecture
      # YOUR CODE HERE ------------------------------------------------------

      # ---------------------------------------------------------------------

    # Combines the speeds into one output using a motor schema approach
    def produceSpeedsMotorSchema(self):
 
      # Produce target if not existent
      if self.move_with_target == True and self.navigation.target_exists == False:
        self.navigation.selectTarget()

      # Get the submodule's speeds
      [l_sonar, a_sonar] = self.produceSpeedsSonars()
      [l_laser, a_laser] = self.produceSpeedsLaser()
      [l_goal, a_goal] = self.navigation.velocitiesToNextSubtarget()

      self.linear_velocity  = 0
      self.angular_velocity = 0
        
      # Get the speeds using the motor schema approach
      # YOUR CODE HERE ------------------------------------------------------
        
      # ---------------------------------------------------------------------

    # Assistive functions - Do you have to call them somewhere?
    def stopRobot(self):
      self.stop_robot = True

    def resumeRobot(self):
      self.stop_robot = False
开发者ID:ApostolosPournaras,项目名称:autonomous_systems_architectures,代码行数:104,代码来源:speeds_assignment.py


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