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ROB422/EECS465 - Introduction to Algorithmic Robotics

Robotics course instructed by the UMich Robotics professor, Dmitry.

Course Content

This primer on Robotics canvases a wide spectrum of the discipline:

  • Foundations: Matrix operations and optimization.
  • Planning and control: Spanning basic robot hand controls to advanced motion planning.
  • Data Processing: Including point cloud processing, probabilistic decision-making, Kalman Filter, and Particle Filter.
  • Learning: Introduction to basic Machine learning and Deep Learning

🔗 Course Details: Click Here for full course information and materials.

🔗 Final Project: Click Here Kalman and Particle Filters Localization.