Robotic Mechanics and Modeling

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Introduction[edit | edit source]

This course describes the mechanics and modeling of robotic manipulators and locomotors. The suggested audience will be advanced undergraduate and graduate students in engineering, science, or the arts. The expectation is that students will have some familiarity with ordinary differential equations, vector calculus, and linear algebra. The course will draw on material openly available with inspiration from key relevant texts [1][2][3][4].

Topics[edit | edit source]

  1. Kinematics
  2. Inverse Kinematics
  3. Dynamics
  4. Trajectories
  5. Control
  6. Mechanisms
  7. Vehicles

Software[edit | edit source]

  1. Installing Python and Jupyter for Robotic Modeling
  2. A Whirlwind Tour of Python
  3. SciPy.org

Resources[edit | edit source]

  1. Peter Corke's Robotic Toolbox
  2. Lynch and Park's Modern Robotics
  3. Siciliano, Khatib, and Kröger's Handbook of Robotics

Courses on Robotics[edit | edit source]

  1. Wikiversity Introduction to Robotics
  2. Wikiversity Robotics
  3. MIT OCW Introduction to Robotics (Fall 2005)
  4. MIT OCW Underactuated Robotics (Spring 2009)
  5. MIT OCW Cognitive Robotics (Spring 2016)
  6. MIT OCW Design of Electromechanical Robotics (Fall 2009)
  7. EdX Robotics (Columbia) (Spring 2020)
  8. EdX Hello (Real) World with ROS (TU Delft) (Spring 2020)
  9. EdX Robot Mechanics and Control, Part I (SNU) (Spring 2014)

Contributors[edit | edit source]

Please feel free to add content and improve this course as you review the material.

  1. Aaron Mazzeo, Rutgers University
  2. Team 1: Jess Strauss, Luis Rafael Miranda Rodriguez, Chris Kalafatis
  3. Team 2: Jaewook Jung, Bharg Shah, David Ezrapour,
  4. Team 3: Albert Kraus, Daniel Adelman, Devin Lorusso
  5. Team 4: Alvin Chen, Liwen H, George Youssef
  6. Team 5: Andrew Ferraro, Chris Ragusa, Jan Chih-Hao
  7. Team 6: Alex Sanducu, Sharmad Anaokar, Vinit Pakhale, Meng Yu

References[edit | edit source]

  1. Corke, Peter (2017). Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition. Springer Tracts in Advanced Robotics (2 ed.). Springer International Publishing. ISBN 978-3-319-54412-0.
  2. Craig, John C. "Introduction to Robotics: Mechanics and Control, 4th Edition". www.pearson.com. Retrieved 2020-01-07.
  3. Lynch, Kevin M.; Park, Frank C. "Modern Robotics: Mechanics, Planning, and Control". Cambridge University Press. Retrieved 2020-01-07.
  4. Siciliano, Bruno; Khatib, Oussama, eds. (2016). Springer Handbook of Robotics. Springer Handbooks (2 ed.). Springer International Publishing. ISBN 978-3-319-32550-7.