Loading repository data…
NxRLab / repository
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
This repository contains the code library accompanying Modern Robotics: Mechanics, Planning, and Control (Kevin Lynch and Frank Park, Cambridge University Press 2017). The user manual is in the doc directory.
The functions are available in:
Each function has a commented section above it explaining the inputs required for its use as well as an example of how it can be used and what the output will be. This repository also contains a pdf document that provides an overview of the available functions using MATLAB syntax. Functions are organized according to the chapter in which they are introduced in the book. Basic functions, such as functions to calculate the magnitude of a vector, normalize a vector, test if the value is near zero, and perform matrix operations such as multiplication and inverses, are not documented here.
The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
Some unofficial versions in other languages are being developed:
Some libraries built on ours:
M, Slist, Blist, Mlist and Glist parameters for kinematics and dynamics. It also provides UR5 simulation using PyBullet.tensorflow.Any contribution is welcomed but the maintenance team for this library here doesn't vouch for the reliability of those projects.
Selected from shared topics, language and repository description—not editorial ratings.
holdenb /
Modern Robotics Techniques & Algorithms. Based on Modern Robotics: Mechanics, Planning, and Control (Lynch & Park, 2017). The project contains various algorithms re-implemented in python.