docs: simplified readme dependency installation #24

README.md

@@ -2,9 +2,11 @@
 
 [中文文档](README_CN.md)
 
-Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" stands for "simulation and real"
+This repository provides a framework for simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" stands for "simulation and real"
 
-This framework supports legged_gym based on IaacGym and IsaacLab based on IsaacSim. Use `framework` to distinguish.
+feature:
+- Support legged_gym based on IaacGym and IsaacLab based on IsaacSim. Use `framework` to distinguish.
+- The code supports both cpp and python, you can find python version in `src/rl_sar/scripts`
 
 [Click to discuss on Discord](https://discord.gg/vmVjkhVugU)
 
@@ -18,9 +20,7 @@ git clone https://github.com/fan-ziqi/rl_sar.git
 
 ## Dependency
 
-This project relies on ROS Noetic (Ubuntu 20.04)
+This project uses `ros-noetic` (Ubuntu 20.04) and requires the installation of the following ROS dependency packages:
-
-After installing ROS, install the dependency library
 
 ```bash
 sudo apt install ros-noetic-teleop-twist-keyboard ros-noetic-controller-interface ros-noetic-gazebo-ros-control ros-noetic-joint-state-controller ros-noetic-effort-controllers ros-noetic-joint-trajectory-controller
@@ -35,6 +35,16 @@ unzip libtorch-cxx11-abi-shared-with-deps-2.0.1+cpu.zip -d ./
 echo 'export Torch_DIR=/path/to/your/torchlib' >> ~/.bashrc
 ```
 
+Install `yaml-cpp` and `lcm`. If you are using Ubuntu, you can directly use the package manager for installation:
+
+```bash
+sudo apt install liblcm-dev libyaml-cpp-dev
+```
+
+<details>
+
+<summary>You can also use source code installation, click to expand</summary>
+
 Install yaml-cpp
 
 ```bash
@@ -54,6 +64,7 @@ cmake .. && make
 sudo make install
 sudo ldconfig
 ```
+</details>
 
 ## Compilation
 

README_CN.md

@@ -2,9 +2,11 @@
 
 [English document](README.md)
 
-机器人强化学习算法的仿真验证与实物部署，适配四足机器人、轮足机器人、人形机器人。"sar"代表"simulation and real"
+本仓库提供了机器人强化学习算法的仿真验证与实物部署框架，适配四足机器人、轮足机器人、人形机器人。"sar"代表"simulation and real"
 
-本框架支持基于IaacGym的legged_gym，也支持基于IsaacSim的IsaacLab，用`framework`加以区分。
+特性：
+- 支持基于IaacGym的legged_gym，也支持基于IsaacSim的IsaacLab，用`framework`加以区分。
+- 代码有python和cpp两个版本，python版本可以在`src/rl_sar/scripts`中找到
 
 [点击在Discord上讨论](https://discord.gg/MC9KguQHtt)
 
@@ -18,9 +20,7 @@ git clone https://github.com/fan-ziqi/rl_sar.git
 
 ## 依赖
 
-本项目依赖ROS-Noetic(Ubuntu20.04)
+本项目使用`ros-noetic`(Ubuntu20.04)，且需要安装以下的ros依赖包
-
-安装好ros之后安装依赖库
 
 ```bash
 sudo apt install ros-noetic-teleop-twist-keyboard ros-noetic-controller-interface ros-noetic-gazebo-ros-control ros-noetic-joint-state-controller ros-noetic-effort-controllers ros-noetic-joint-trajectory-controller
@@ -35,6 +35,16 @@ unzip libtorch-cxx11-abi-shared-with-deps-2.0.1+cpu.zip -d ./
 echo 'export Torch_DIR=/path/to/your/torchlib' >> ~/.bashrc
 ```
 
+安装`yaml-cpp`和`lcm`，若您使用Ubuntu，可以直接使用包管理器进行安装
+
+```bash
+sudo apt install liblcm-dev libyaml-cpp-dev
+```
+
+<details>
+
+<summary>也可以使用源码安装，点击展开</summary>
+
 安装yaml-cpp
 
 ```bash
@@ -54,6 +64,7 @@ cmake .. && make
 sudo make install
 sudo ldconfig
 ```
+</details>
 
 ## 编译