diff --git a/src/humanoid_loco_mujoco/README.md b/src/humanoid_loco_mujoco/README.md
index fbf8680c6c..18af99e349 100644
--- a/src/humanoid_loco_mujoco/README.md
+++ b/src/humanoid_loco_mujoco/README.md
@@ -49,4 +49,5 @@ https://github.com/robfiras/loco-mujoco/tree/master/loco_mujoco/models/unitree_h
 
 - `main`:使用locomujoco的简单示例
 - `mujoco`:使用mujoco的简单实例
-- `robot_RL`:使用mujoco进行的强化学习训练
\ No newline at end of file
+- `robot_RL`:使用mujoco进行的强化学习训练
+- `mujoco_ros2_sim`:使用mujoco和ros2进行仿真
\ No newline at end of file
diff --git a/src/humanoid_loco_mujoco/ros2/mujoco_ros2_sim.py b/src/humanoid_loco_mujoco/ros2/mujoco_ros2_sim.py
new file mode 100644
index 0000000000..e76ea52f86
--- /dev/null
+++ b/src/humanoid_loco_mujoco/ros2/mujoco_ros2_sim.py
@@ -0,0 +1,75 @@
+import rclpy
+from rclpy.node import Node
+import numpy as np
+import mujoco
+import mujoco.viewer
+from my_interfaces.srv import RobotCtrl
+from my_interfaces.msg import RobotState
+import time
+current_action='stop'
+class MujocoRos2Sim(Node):
+    def __init__(self,name):
+        super().__init__(name)
+        self.get_logger().info("节点已启动：%s!" % name)
+        # 加载数据,模型,轨迹数据
+        self.model=mujoco.MjModel.from_xml_path("RobotH.xml")
+        self.data=mujoco.MjData(self.model)
+        self.data_walk=np.load("walk.npz")
+        self.data_squat=np.load("squat.npz")
+        # 创建viewer
+        self.viewer=mujoco.viewer.launch_passive(self.model, self.data)
+
+        #创建服务用来控制model运动
+        self.service=self.create_service(RobotCtrl, 'robot_control', self.control_callback)
+        #创建话题用来发布当前状态
+        self.pub=self.create_publisher(RobotState, 'robot_state', 10)
+
+    def control_callback(self, request, response):
+
+        self.get_logger().info(f"Received command: {request.command}")
+        if request.command == "squat":
+            current_action="squat"
+        elif request.command == "walk":
+            current_action="walk"
+        elif request.command == "stop":
+            current_action="stop"
+        response.result=True
+        return response
+    
+    def publish_status(self):
+        # 发布当前状态
+        msg=RobotState()
+        msg.action=current_action
+        self.pub.publish(msg)
+
+    def run_sim(self):
+        while True:
+            # 控制动作
+            if current_action=="squat":
+                self.data.qpos[0]=self.data_squat["qpos"][0]
+                self.data.qvel[0]=self.data_squat["qvel"][0]
+            elif current_action=="walk":
+                self.data.qpos[0]=self.data_walk["qpos"][0]
+                self.data.qvel[0]=self.data_walk["qvel"][0]
+            elif current_action=="stop":
+                self.data.qpos[0]=0
+                self.data.qvel[0]=0
+            # 模拟一步
+            mujoco.mj_step(self.model, self.data)
+            # 实时渲染
+            self.viewer.sync()
+            # 发布状态
+            self.publish_status()
+
+
+
+def main(args=None):
+    rclpy.init(args=args)
+    sim=MujocoRos2Sim("mujoco_ros2_sim")
+    sim.run_sim()
+    rclpy.spin(sim)
+    sim.destroy_node()
+    rclpy.shutdown()
+
+if __name__=='__main__':
+    main()
\ No newline at end of file