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New Crowdin translations - zh-CN (#26553)

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docs/zh/ros/external_position_estimation.md
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@@ -189,7 +189,7 @@ To use MoCap data with EKF2 you will have to [remap](https://wiki.ros.org/roslau
The `geometry_msgs/PoseStamped` topic is most common as MoCap doesn't usually have associated covariances to the data.
- If you get data through a `nav_msgs/Odometry` ROS message then you will need to remap it to `/mavros/odometry/out`, making sure to update the `frame_id` and `child_frame_id` accordingly.
- The odometry frames `frame_id = odom`, `child_frame_id = base_link` can be changed by updating the file in `mavros/launch/px4_config.yaml`. However, the current version of mavros (`1.3.0`) needs to be able to use the tf tree to find a transform from `frame_id` to the hardcoded frame `odom_ned`. The same applies to the `child_frame_id`, which needs to be connected in the tf tree to the hardcoded frame `base_link_frd`. If you are using mavros `1.2.0` and you didn't update the file `mavros/launch/px4_config.yaml`, then you can safely use the odometry frames `frame_id = odom`, `child_frame_id = base_link` without much worry.
- Note that if you are sending odometry data to px4 using `child_frame_id = base_link`, then you need to make sure that the `twist` portion of the `nav_msgs/Odometry` message is **expressed in body frame**, **not in inertial frame!!!!!**.
- Note that if you are sending odometry data to PX4 using `child_frame_id = base_link`, then you need to make sure that the `twist` portion of the `nav_msgs/Odometry` message is **expressed in body frame**, **not in inertial frame!!!!!**.
### 参考框架和 ROS
@@ -253,7 +253,7 @@ This might break the _tf_ tree.
### 光学跟踪 MoCap
The following steps explain how to feed position estimates from an [OptiTrack](https://optitrack.com/applications/robotics/) system to PX4.
The following steps explain how to feed position estimates from an [OptiTrack](https://optitrack.com/applications/robotics) system to PX4.
It is assumed that the MoCap system is calibrated.
See [this video](https://www.youtube.com/watch?v=cNZaFEghTBU) for a tutorial on the calibration process.
docs/zh/ros/mavros_custom_messages.md
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## MAVROS 安装
Follow _Source Installation_ instructions from [mavlink/mavros](https://github.com/mavlink/mavros/blob/master/mavros/index.md) to install "ROS Kinetic".
Follow _Source Installation_ instructions from [mavlink/mavros](https://github.com/mavlink/mavros/blob/master/mavros/README.md) to install "ROS Kinetic".
## MAVROS
docs/zh/ros/ros1.md
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@@ -21,7 +21,7 @@ This version of ROS uses the [MAVROS](../ros/mavros_installation.md) package to
- [ROS Installation on RPi](../ros/raspberrypi_installation.md)
- [External Position Estimation (Vision/Motion based)](../ros/external_position_estimation.md)
## Further Infomration
## 更多信息
- [XTDrone](https://github.com/robin-shaun/XTDrone/blob/master/README.en.md) - ROS + PX4 simulation environment for computer vision.
The [XTDrone Manual](https://www.yuque.com/xtdrone/manual_en) has everything you need to get started!