四足机器狗ros仿真代码

# champ [](https://travis-ci.org/chvmp/champ) ROS Packages for CHAMP Quadruped Controller.  CHAMP is an open source development framework for building new quadrupedal robots and developing new control algorithms. The control framework is based on [*"Hierarchical controller for highly dynamic locomotion utilizing pattern modulation and impedance control : implementation on the MIT Cheetah robot"*](https://dspace.mit.edu/handle/1721.1/85490). Core Features: - Fully Autonomous (using ROS navigation Stack). - [Setup-assistant](https://github.com/chvmp/champ_setup_assistant) to configure newly built robots. - Collection of pre-configured [URDFs](https://github.com/chvmp/robots) like Anymal, MIT Mini Cheetah, Boston Dynamic's LittleDog, and SpotMicroAi. - Gazebo simulation environment. - Demo robot built using accessible components so you can build it from home. - Demo Applications like [TOWR](https://github.com/ethz-adrl/towr) and [chicken head](https://github.com/chvmp/chicken_head) stabilization. - Lightweight C++ header-only [library](https://github.com/chvmp/libchamp) that can run on both SBC and micro-controllers. Supported Hardware: LIDAR: - XV11 Lidar - RPLidar - YDLIDAR X4 - Hokuyo (SCIP 2.2 Compliant) IMU: - BNO080 SBC: - Nvidia Jetson Nano This should also work on Single Board Computers that support Ubuntu 16/18 capable of running ROS Navigation Stack. ACTUATORS: - Digital Servos - Dynamixel AX12 - Odrive Driven Brushless Motors - WIP TESTED ON: - Ubuntu 16.04 (ROS Kinetic) - Ubuntu 18.04 (ROS Melodic) ## 1. Installation 1.1. Clone and install all dependencies: sudo apt install -y python-rosdep cd <your_ws>/src git clone https://github.com/chvmp/champ git clone https://github.com/chvmp/champ_teleop cd .. rosdep install --from-paths src --ignore-src -r -y 1.2. Build your workspace: cd <your_ws> catkin_make source <your_ws/>/devel/setup.bash ## 2. Quick Start You don't need a physical robot to run the following demos. If you're building a physical robot, you can find out more how to configure and run a new robot in step 3. ### 2.1. Walking demo in RVIZ: 2.1.1. Run the base driver: roslaunch champ_config bringup.launch rviz:=true 2.1.2. Run the teleop node: roslaunch champ_teleop teleop.launch If you want to use a [joystick](https://www.logitechg.com/en-hk/products/gamepads/f710-wireless-gamepad.html) add joy:=true as an argument. ### 2.2. SLAM demo: 2.2.1. Run the Gazebo environment: roslaunch champ_config gazebo.launch 2.2.2. Run gmapping package and move_base: roslaunch champ_config slam.launch rviz:=true To start mapping: - Click '2D Nav Goal'. - Click and drag at the position you want the robot to go.  - Save the map by running: roscd champ_config/maps rosrun map_server map_saver ### 2.3. Autonomous Navigation: 2.3.1. Run the Gazebo environment: roslaunch champ_config gazebo.launch 2.3.2. Run amcl and move_base: roslaunch champ_config navigate.launch rviz:=true To navigate: - Click '2D Nav Goal'. - Click and drag at the position you want the robot to go.  ## 3. Running your own robot: TODO: - Hardware Documentation - Microcontroller based configuration ### 3.1. Generate robot configuration - First generate a configuration package using [champ_setup_assistant](https://github.com/chvmp/champ_setup_assistant). Follow the instructions in the README to configure your own robot. The generated package contains: - URDF path to your robot. - Joints and Links map to help the controller know the semantics of the robot. - Gait parameters. - Hardware Drivers. - Navigation parameters (move_base, amcl and gmapping). - Microcontroller header files for gait and lightweight robot description. This only applies to robot builds that use microcontroller to run the quadruped controller. As a reference, you can check out the collection of robots that have been pre-configured [here](https://github.com/chvmp/robots). In the list are some of the popular quadruped robots like Anymal, MIT Mini Cheetah, Boston Dynamic's LittleDog, and SpotMicroAI. Feel free to download the configuration packages in your catkin workspaces 'src' directory to try. - Next, build your workspace so your newly generated package can be found: cd <your_ws> catkin_make ### 3.2.Base Driver: This will run the quadruped controller and all sensor/hardware drivers: roslaunch <myrobot_config> bringup.launch Available Parameters: - **rviz** - Launch together with RVIZ. Default: false - **has_imu**- Set this to true if the robot has no IMU. This is useful when you want to view your newly configured robot. Basically, this tells the robot to use the pose commands from [champ_teleop](https://github.com/chvmp/champ_teleop) as the current pose of the robot. Take note that this is only useful for debugging the robot. It is recommended to place an IMU on a physical robot. Default: true. - **lite** - Always set this to true if you're using a microcontroller to run the algorithms. Default false. Example Usage: View your newly configured robot: roslaunch <myrobot_config> bringup.launch rviz:true Run real robot with a microcontroller: roslaunch <myrobot_config> bringup.launch lite:=true ### 3.3. Creating a map: The base driver described in 3.2 must be running to run gmapping and move_base. Run gmapping package and move_base: roslaunch <myrobot_config> slam.launch To open RVIZ and view the map: roscd champ_navigation/rviz rviz -d navigate.rviz To start mapping: - Click '2D Nav Goal'. - Click and drag at the position you want the robot to go.  - Save the map by running: roscd <myrobot_config>/maps rosrun map_server map_saver ### 3.4. Autonomous Navigation: The base driver described in 3.2 must be running to run amcl and move_base. Run amcl and move_base: roslaunch <myrobot_config> navigate.launch To open RVIZ and view the map: roscd champ_navigation/rviz rviz -d navigate.rviz To navigate: - Click '2D Nav Goal'. - Click and drag at the position you want the robot to go.  ### 3.5 Running your robot in Gazebo Run Gazebo and the base driver in simulation mode: roslaunch <myrobot_config> gazebo.launch * Take note that in order for this to work, the URDF has to be Gazebo compatible and has [ros_control](http://gazebosim.org/tutorials/?tut=ros_control) capability. The controllers have been set-up so all you need is to add the transmission of the actuators. You also need to get the physics parameters right like your mass, inertia, and foot friction. Some useful resources on getting these parameters right: - Inertial Calculation - https://github.com/tu-darmstadt-ros-pkg/hector_models/blob/indigo-devel/hector_xacro_tools/urdf/inertia_tensors.urdf.xacro - List of Moment of Inertia - https://en.wikipedia.org/wiki/List_of_moments_of_inertia - Gazebo inertial parameters - http://gazebosim.org/tutorials?tut=inertia&cat=build_robot#Overview