现在有许多 tf 的教程可用于 C++ 和 Python。这些教程大多是流程化的,可以用 C++ 或者 Python 来完成。如果您既想学 C++ 又想学 Python,您应该用 C++ 和 Python 各跑一遍教程。请注意,大致的概念已经在tf 功能包页面中解释。
Workspace Setup
If you have not yet created a workspace in which to complete the tutorials, click here for some brief instructions .
学习 tf
C++ |
Python |
|
|
如果您已经完成这些教程,请协助我们完成这个简短的 问卷。
调试 tf
- tfの問題をデバッグする
このチュートリアルでは、tf関連のデバッグの体系的なアプローチについて学びます
- Debugging tf problems
This tutorial gives a systematic approach for debugging tf related problems.
用 tf 处理传感器消息
- No Title
No Description
用 tf 设置机器人
- Setting up your robot using tf
This tutorial provides a guide to set up your robot to start using tf.
- Using the robot state publisher on your own robot
This tutorial explains how you can publish the state of your robot to tf, using the robot state publisher.
- Using urdf with robot_state_publisher
This tutorial gives a full example of a robot model with URDF that uses robot_state_publisher. First, we create the URDF model with all the necessary parts. Then we write a node which publishes the JointState and transforms. Finally, we run all the parts together.
- Using the robot state publisher on your own robot
This tutorial explains how you can publish the state of your robot to tf, using the robot state publisher.
- Using urdf with robot_state_publisher
This tutorial gives a full example of a robot model with URDF that uses robot_state_publisher. First, we create the URDF model with all the necessary parts. Then we write a node which publishes the JointState and transforms. Finally, we run all the parts together.
创建一个新教程: