@Alacritic_Super: Want to learn robotics from one of the top robotics programs in the world? The Michigan Robotics GitHub organization is…

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Summary

University of Michigan Robotics shares free open-source course materials including lectures, textbooks, and projects from their top robotics program, covering topics from computational linear algebra to autonomous systems.

Want to learn robotics from one of the top robotics programs in the world? The Michigan Robotics GitHub organization is packed with free course materials, textbooks, projects, lecture notes, and robotics resources. Topics Covered ROB101 – Computational Linear Algebra https://github.com/michiganrobotics/rob101… Topics: • Matrices • Linear Algebra • Numerical Methods • Intelligent Systems Applications --- ROB311 – How to Build Robots and Make Them Move https://github.com/michiganrobotics/rob311… Topics: • Robot Design • Motors & Transmissions • Sensors • Microcontrollers • Control Systems • Robot Manufacturing --- ROB501 – Mathematics for Robotics https://github.com/michiganrobotics/rob501… Topics: • Linear Algebra • Probability • Kalman Filters • Optimization • Least Squares • Convexity • Linear Programming --- Additional Resources • MBot Robotics Platform • Human-Robot Interaction • Autonomous Vehicles • Robot Kinematics • SLAM & Localization • Biped Robotics • Open Source Leg • Vision & LiDAR Datasets Learning Path: Math → Programming → Control Systems → Perception → Robotics → Autonomous Systems A goldmine for anyone serious about robotics. https://github.com/michiganrobotics…
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Cached at: 06/23/26, 03:59 AM

Want to learn robotics from one of the top robotics programs in the world?

The Michigan Robotics GitHub organization is packed with free course materials, textbooks, projects, lecture notes, and robotics resources.

Topics Covered

ROB101 – Computational Linear Algebra https://github.com/michiganrobotics/rob101…

Topics: • Matrices • Linear Algebra • Numerical Methods • Intelligent Systems Applications

ROB311 – How to Build Robots and Make Them Move https://github.com/michiganrobotics/rob311…

Topics: • Robot Design • Motors & Transmissions • Sensors • Microcontrollers • Control Systems • Robot Manufacturing

ROB501 – Mathematics for Robotics https://github.com/michiganrobotics/rob501…

Topics: • Linear Algebra • Probability • Kalman Filters • Optimization • Least Squares • Convexity • Linear Programming

Additional Resources

• MBot Robotics Platform • Human-Robot Interaction • Autonomous Vehicles • Robot Kinematics • SLAM & Localization • Biped Robotics • Open Source Leg • Vision & LiDAR Datasets

Learning Path:

Math → Programming → Control Systems → Perception → Robotics → Autonomous Systems

A goldmine for anyone serious about robotics.

https://github.com/michiganrobotics…

michiganrobotics/rob101

Source: https://github.com/michiganrobotics/rob101

Robotics 101: Computational Linear Algebra

Computational Linear Algebra is a first-semester, first-year undergraduate course that shows how mathematics and computation are unified for reasoning about data and making discoveries about the world.

The first iteration of the course ran in Fall 2020 at the University of Michigan Robotics Institute.

Linear algebra and coding are rapidly becoming an essential foundation for the modern engineer in a computational world. Students in this course will gain insights into the mathematical theory of linear algebra and its realization in practical computational tools.

Math is the language of engineering, but coding is believing and realizing it. The mathematical content of ROB 101 is built around systems of linear equations, their representation as matrices, and numerical methods for their analysis. These methods will be given life through the lens of robotics and contemporary intelligent systems and their compelling applications.

The entire course is available for the terms:

And the homework and projects:

Lecture, Recitation, and Lab Videos

All lecture, recitation, and lab videos are available on YouTube:

Lecture notes as well as recitation notes are also available in the repository.

Textbook

The textbook, Notes for Computational Linear Algebra, continues to be updated, and it is now available in LaTeX format in it’s own GitHub repository.

Projects

Three main projects that accompany the course are available in the repository.

Course Plan

Course plans for each term are in their respective repositories. Please let us know if anything is unclear.

Course Evaluation

Students thoughts on the courses can be read in the teaching evaluations.

Credits

  • Chad Jenkins, Associate Director of Undergraduate Programs, Michigan Robotics
  • Jessy Grizzle, Director, Michigan Robotics
  • Maani Ghaffari, Assistant Professor, Naval and Marine Architecture, U-M
  • Kira Biener
  • Tribhi Kathuria
  • John Pye
  • Madhav Achar
  • Fangtong (Miley) Liu
  • Shaoxiong Yao
  • Eva Mungai
  • Bruce JK Huang
  • Grant A. Gibson
  • Oluwami Dosunmu-Ogunbi
  • Lu Gan
  • Ray Zhang

License

All code is licensed under the GNU General Public License v3.0.

All other content, including textbooks, homeworks, and video, is licensed under the Creative Commons Attribution-NonCommericial 4.0 (CC BY-NC 4.0).

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