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Robotics And Machine Vision Resources

This is a curated collection of resources related to robotics and machine vision. All titles are titles I own and would encourage as useful in the field. There are also articles and useful links.

Background

  • Introduction to Mathematical Statistics
    Robert Hogg, Joeseph McKean and Allen Craig

  • Numerical Linear Algebra and Applications
    Biswa Nath Datta

More Advanced Background

  • Machine Learning: A Probabilistic Perspective
    Kevin Murphy

  • Neural Network Control of Robot Manipulators and Nonlinear Systems
    F. L. Lewis, A. Yesildirak and Suresh Jagannathan

Application and Robotics Specific Texts

  • Probabilistic Robotics
    Sebastian Thrun, Wolfram Burgard and Dieter Fox

  • Foundations of Robotics
    Tsuneo Yoshikawa

  • Theory of Applied Robotics: Kinematics, Dynamics and Control
    Reza Jazar

  • Introduction to Robotics: Mechanics and Control
    John J. Craig

  • Robot Manipulators: Mathematics, Programming and Control
    Richard Paul

  • Modern Robotics: Mechanics, Planning, and Control
    Kevin M. Lynch and Frank C. Park

Interesting and Relevant Articles

Online Learning Resources

Interesting Online Projects and Tools

Useful Actuator and Sensor Tools

Frameworks, Libraries and Tools

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