机器人开发环境介绍

In this section, we will tintroduce:

1. the usage case of robots
2. the development environment for simulation (Python + conda)

概率机器人详解

概率机器人详解 Homepage

课件: ryuichiueda/LNPR_SLIDES

原书代码: ryuichiueda/LNPR_BOOK_CODES

My source code: https://github.com/yubaoliu/Probabilistic-Robotics.git

Robot Introduction

Soccer match:

Human support robot:

Note: you can find these videos on https://space.bilibili.com/52620240 too.

Environment Deployment

• (optional) Anyconda or other virtual Python environment
• Jupyter notebook

You can refer https://www.ybliu.com/2021/01/OpenCV-Python-Development.html to deploy a conda-based development environment.

Test Environment

Run jupyter notebook

jupyter notebook

Add vitual env to notebook:

conda install -c anaconda ipykernel
python -m ipykernel install --user --name=robotics

jupyter notebook

Draw world coordinate

Source code:

import matplotlib.pyplot as plt

class World:
    def __init__(self):
        pass
    def draw(self):
        fig = plt.figure(figsize=(8, 8))
        ax = fig.add_subplot(111)
        ax.set_xlim(-5, 5)
        ax.set_ylim(-5, 5)
        ax.set_xlabel("X", fontsize=20)
        ax.set_ylabel("Y", fontsize=20)
        plt.show()
        
world = World()
world.draw()