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Go2-Adaptive-LIO
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Go2-Adaptive-LIO
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# 3d Unitree Quadruped robot LIO simulation <p align="center"> <img src="https://github.com/user-attachments/assets/c56ca79e-c744-48f7-a4ca-7d35727373a3" alt="Timeline1" /> </p> ## prerequisites - ros1 noetic or melodic ``` wget http://fishros.com/install -O fishros && . fishros ``` - preconfiguration ``` sudo rosdep init rosdep update rosdep install --from-paths src --ignore-src -r -y sudo apt-get install libgoogle-glog-dev libeigen3-dev libpcl-dev libyaml-cpp-dev liblcm-dev ``` - onnxruntime configuration [onnx-release](https://github.com/microsoft/onnxruntime/releases/tag/v1.21.0) or ``` wget https://github.com/microsoft/onnxruntime/releases/download/v1.21.0/onnxruntime-linux-x64-1.21.0.tgz ``` then uncompress it and run command below: ``` sudo cp -r ./onnxruntime-linux-x64-1.21.0 /usr/lib/onnxruntime-linux-x64 ``` clone this repository ``` git clone https://github.com/pym96/Go2-Adaptive-LIO.git ``` - compile ``` catkin build ``` - run simulation (source devel/setup.bash) first ``` roslaunch robot_control RobotBringup.launch # Small room scene simulation. roslaunch robot_control RobotBringupStairs.launch # Scene simulation with stairs. ``` - run keyboard cmd control (w a s d to control velocity, space bar to stop) ``` roslaunch robot_cmd keyboard_teleop.launch ``` - run LIO system ``` roslaunch faster_lio mapping_velodyne.launch ``` ## Reference link * **`Onnxruntime`** : https://github.com/microsoft/onnxruntime.git * **`Faster-lio`** (A light-weight Lidar-inertial odometry for lidar pose tracking and point cloud mapping.):https://github.com/gaoxiang12/faster-lio.git * **`Unitree-guide`** (The following will quickly introduce the use of unitree_guide in the gazebo simulator. For more usage, please refer to 《四足机器人控制算法--建模、控制与实践》.) :https://github.com/unitreerobotics/unitree_guide.git ## Future work - Terrian analysis with [elevation_mapping](https://github.com/ANYbotics/elevation_mapping.git) - Final 3d planner with things above.....