Robotics course instructed by the UMich Robotics professor, Dmitry.
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.