Awesome Robotics Resources
Free Robotics & AI learning resources, including courses, books, lectures, research papers, tutorials, projects, and more.
Project maintained by slyyr Hosted on GitHub Pages — Theme by mattgraham
Mathematics
The mathematics you actually use in AI and robotics. Where possible, resources here connect the math to engineering applications.
Subjects
- Linear Algebra: Vectors, matrices, decompositions, applied to ML and robotics.
- Calculus: Single and multivariable calculus and differential equations.
- Probability & Statistics: Probability, inference, Bayesian thinking, statistics for ML.
- Optimization: Convex and nonlinear optimization for learning and control.
- Numerical Methods: Numerical linear algebra, integration, ODE solvers.
- Geometry & 3D Transformations: Rotations, homogeneous transforms, Lie groups, projective geometry.
Resources aimed specifically at AI or robotics are tagged inside each subject page rather than split into separate pages.