1 Introduce

Robotics is a highly interdisciplinary discipline , An excellent robot engineer should master rich professional skills .

2 Various disciplines

2.1 mechanical

Solidworks Draw basic mechanical drawings .

2.2 Hardware

Mode electricity 、 Count the electricity 、 Digital signal processing ;
Altium Designer、Allegro;

2.3 Software

C Develop the control program at the bottom of the robot （ Single chip microcomputer ）;
C++ Develop algorithms （SLAM）;
Python、Shell Log compression ,OTA Upgrade and other scripting ;
MATLAB、Julia Do algorithm verification ;
Linux、ROS、Qt、Go、Java etc. .

2.4 mathematics

Advanced mathematics （ Calculus ）> linear algebra > Probability theory and mathematical statistics > College Physics > Complex functions ;
Calculus （ Control related ）, Fourier transformation （ Signal processing is related to ）, random process （ State estimation is relevant ）, Matrix theory （ Basics ）, And the knowledge of optimization （ Control decisions are relevant ）

2.5 Algorithm

Dynamic modeling , nonlinear control , optimum control ,SLAM, State filtering , Reinforcement learning , Computer vision （ classification 、 distinguish 、 track ）, natural language processing .

Target tracking

deepsort
Explain profound theories in simple language —— I can understand the article of zero foundation DeepSORT( Principles )

Hand eye calibration

Trajectory planning of manipulator , Path planning , Differences in sports planning

Trajectory planning of manipulator , Path planning , What's the difference between sports planning ？
https://www.zhihu.com/question/350041114/answer/1581873133

OctoMap

https://octomap.github.io/

planning Robotics: Computational Motion Planning

https://www.coursera.org/learn/robotics-motion-planning?completeMode=noEmailAvailable

planning udacity.com

https://auth.udacity.com/sign-in?next=https%3A%2F%2Fclassroom.udacity.com%2Fauthenticated

planning motion planning trajectory planning

https://github.com/Ewenwan/MVision/tree/master/robot/Search

Resources for Physics based simulation in Computer Graphics Resource arrangement of physical simulation in graphics

https://blog.csdn.net/qq_38880380/article/details/125760943?csdn_share_tail=%7B%22type%22%3A%22blog%22%2C%22rType%22%3A%22article%22%2C%22rId%22%3A%22125760943%22%2C%22source%22%3A%22qq_38880380%22%7D&ctrtid=VOkve

2.6 theory

$$ The open online robotics education resource

https://robotacademy.net.au/

《Principles of Robot Motion》Theory, Algorithms, and Implementations

By Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Wolfram Burgard, Lydia E. Kavraki and Sebastian Thrun.
This is a MIT 2005 Classic books published in , Essential for entry-level sports planning .

《 Modern robotics 》 Institutions 、 Planning and control

From Northwestern University .
Supporting video ：https://www.bilibili.com/video/av87411980/?vd_source=1e7cd86d5275dd00689298f86dc56701

Robot special course – University of Pennsylvania

The University of Pennsylvania has a special sports planning course .
https://www.bilibili.com/video/BV1bp4y1z7mi?from=search&seid=13126762633264555465&vd_source=1e7cd86d5275dd00689298f86dc56701

3 Tools

3.1 Robot development – Common simulation software tools

https://blog.csdn.net/qq_38880380/article/details/125758070?csdn_share_tail=%7B%22type%22%3A%22blog%22%2C%22rType%22%3A%22article%22%2C%22rId%22%3A%22125758070%22%2C%22source%22%3A%22qq_38880380%22%7D&ctrtid=csc75

Reference resources

1、
2、 Robot learning route
3、 Robot development – Introduction to technical route
4、 Derivation from vehicle kinematic model to dynamic model
5、Apollo Code learning ( Two )— Vehicle kinematics model
6、Apollo Code learning ( 3、 ... and )— Vehicle dynamics model
7、 Why does the car go forward ？
8、 The way for robot engineers to learn
9、 Introduction to common simulation software tools for robot systems 、 Effect and evaluation index （2018 Annual update ）