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NxRLab/ModernRobotics

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. observed · 2026-08-28

github.com/NxRLab/ModernRobotics · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

53/100

  • Activity 68
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3620
  • days_rel: n/a
  • days_push: 196
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2927 stars · 999 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official code library accompanying the textbook 'Modern Robotics: Mechanics, Planning, and Control', providing educational implementations of kinematics, dynamics, and trajectory planning algorithms in Python, MATLAB, and Mathematica. The code prioritizes readability and pedagogy over efficiency or robustness.

Use cases

  • compute forward and inverse kinematics for robot arms
  • learn screw theory and Lie group robotics concepts from the Modern Robotics book
  • calculate Jacobians and velocity kinematics for serial manipulators
  • plan trajectories for robot manipulators
  • compute robot dynamics and equations of motion
  • follow the Coursera Modern Robotics course with working code examples

When to choose

  • studying or teaching modern robotics using the Lynch and Park textbook
  • you need clear, readable reference implementations of screw-theory-based robotics algorithms
  • prototyping kinematics and dynamics calculations for research or coursework

When to avoid

  • you need production-grade, performance-optimized robotics software
  • you require robust error handling or real-time control
  • you need a full robotics framework with simulation, visualization, or hardware drivers

Facets

library · maturity stable

simulation math developer-tools robotics education python cross-platform kinematics dynamics screw-theory textbook-companion matlab mathematica algorithms

3 sources

Member repositories

RepositoryRoleHealth v2
NxRLab/ModernRoboticsmain53

For agents

markdown · JSON · MCP: product_card(name="NxRLab/ModernRobotics")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem