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Turtlebot3仿真指南:从安装到操控

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"20210905 Turtlebot3 使用说明.txt" 本文将详细介绍如何使用和配置Turtlebot3,这是一个开源的机器人平台,常用于ROS(Robot Operating System)的教育和研究。Turtlebot3由ROBOTIS公司开发,提供多种型号,如burger和waffle。本指南将主要涉及在仿真环境中操作Turtlebot3,特别是利用Gazebo进行仿真。 首先,要安装Turtlebot3的仿真包Turtlebot3Simulation。你需要进入你的catkin工作空间源文件夹,然后克隆turtlebot3_simulations仓库: ```bash cd ~/catkin_ws/src/ git clone https://github.com/ROBOTIS-GIT/turtlebot3_simulations.git cd ~/catkin_ws catkin_make ``` 安装完成后,你可以启动Turtlebot3的仿真环境。设定Turtlebot3的模型类型,这里以burger为例: ```bash export TURTLEBOT3_MODEL=burger ``` 接着,运行仿真启动命令: ```bash roslaunch turtlebot3_fake turtlebot3_fake.launch ``` 这样,一个没有实体机器人的仿真节点就会被启动,你可以在rviz中通过teleop节点控制Turtlebot3。 若要使用键盘控制Turtlebot3,可以运行: ```bash roslaunch turtlebot3_teleop turtlebot3_teleop_key.launch ``` 首次使用Gazebo仿真时,可能需要较长时间来加载模型。为加快速度,你可以将Turtlebot3的模型文件复制到Gazebo的模型目录: ```bash mkdir -p ~/.gazebo/models/ cp -r ~/catkin_ws/src/turtlebot3_simulations/turtlebot3_gazebo/worlds/turtlebot3 ~/.gazebo/models/ ``` 同样地,指定使用的模型类型,然后启动带有Turtlebot3的空白地图环境: ```bash export TURTLEBOT3_MODEL=burger roslaunch turtlebot3_gazebo turtlebot3_empty_world.launch ``` 在Gazebo中,你可以加载不同的环境。例如,加载空的世界环境(EmptyWorld): ```bash roslaunch turtlebot3_gazebo turtlebot3_empty_world.launch ``` 除此之外,Gazebo还支持加载各种预定义的环境场景,使用户能够在复杂环境中测试和操控Turtlebot3。这使得学习和开发Turtlebot3的导航、感知和控制算法变得更加便捷和直观。 Turtlebot3的仿真环境通过Gazebo提供了丰富的功能,它不仅允许用户在无需实体机器人的情况下进行实验,还能模拟各种实际环境,这对于初学者和开发者来说是一个极好的学习和测试平台。通过上述步骤,你将能够成功配置并运行Turtlebot3的Gazebo仿真。

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def read_goal(filename): goal = MoveBaseGoal() file_to_read = open(filename) index = 0 for line in file_to_read.readlines(): line = line.strip() index += 1 if index == 2: pattern = re.compile(r"(?<=\[).*?(?=\])") query = pattern.search(line) listFromLine = query.group().split(',') goal.target_pose.pose.position.x = float(listFromLine[0]) goal.target_pose.pose.position.y = float(listFromLine[1]) if index == 3: pattern = re.compile(r"(?<=\[).*?(?=\])") query = pattern.search(line) listFromLine = query.group().split(',') goal.target_pose.pose.orientation.z = float(listFromLine[2]) goal.target_pose.pose.orientation.w = float(listFromLine[3]) print(goal.target_pose.pose) return goal def pick_aruco(): os.system("python /home/robuster/beetle_ai/scripts/3pick.py") def place(): os.system("python /home/robuster/beetle_ai/scripts/place_2.py") def reach_test1(): os.system("python /home/robuster/beetle_ai/scripts/reach_place1.py") def test_2(): os.system("python /home/robuster/beetle_ai/scripts/2test_2.py") def test_1(): os.system("python /home/robuster/beetle_ai/scripts/2test_1.py") def test(): os.system("python /home/robuster/beetle_ai/scripts/2test.py") def test_3(): os.system("python /home/robuster/beetle_ai/scripts/2test3.py") def forward(): print("forward...") move_cmd = Twist() pub = rospy.Publisher('cmd_vel', Twist, queue_size=1) count = 15 rate = rospy.Rate(count) # 20hz while count > 0: move_cmd.linear.x = 0.1 pub.publish(move_cmd) rate.sleep() print("forward...") count -= 1 def backward(): print("backward...") move_cmd = Twist() pub = rospy.Publisher('cmd_vel', Twist, queue_size=1) count = 5 rate = rospy.Rate(count) # 20hz while count > 0: move_cmd.linear.x = -0.1 pub.publish(move_cmd) rate.sleep() print("forward...") count -= 1 def moblie_fetch_demo(): goal1 = read_goal("goal_1.txt") goal2 = read_goal("goal_2.txt") # pick cube from goal1 goal_number = 1 reach_test1() pick_aruco() test() pick_aruco() test_1() pick_aruco() test_2() pick_aruco() test_3() # pick cube from goal2 goal_number = 2 send_goal(goal_number, goal2) return "Mission Finished." if __name__ == '__main__': rospy.init_node('send_goals_python', anonymous=True) result = moblie_fetch_demo() rospy.loginfo(result)

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设计师马丁
2025.07.11
该文档为Turtlebot3的使用操作指南,提供详细的设置步骤和注意事项。
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石悦
2025.05.10
Turtlebot3使用说明详实,适合新手快速上手机器人操作。
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家的要素
2025.03.27