YoVDO

Artificial Intelligence for Robotics

Offered By: Stanford University via Udacity

Tags

Robotics Courses Artificial Intelligence Courses Python Courses

Course Description

Overview

Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

This course is offered as part of the Georgia Tech Masters in Computer Science. The updated course includes a final project, where you must chase a runaway robot that is trying to escape!


Syllabus

  • Localization
    • Localization,Total Probability,Uniform Distribution,Probability After Sense,Normalize Distribution,Phit and Pmiss,Sum of Probabilities,Sense Function,Exact Motion,Move Function,Bayes Rule,Theorem of Total Probability
  • Kalman Filters
    • Gaussian Intro,Variance Comparison,Maximize Gaussian,Measurement and Motion,Parameter Update,New Mean Variance,Gaussian Motion,Kalman Filter Code,Kalman Prediction,Kalman Filter Design,Kalman Matrices
  • Particle Filters
    • Slate Space,Belief Modality,Particle Filters,Using Robot Class,Robot World,Robot Particles
  • Search
    • Motion Planning,Compute Cost,Optimal Path,First Search Program,Expansion Grid,Dynamic Programming,Computing Value,Optimal Policy
  • PID Control
    • Robot Motion,Smoothing Algorithm,Path Smoothing,Zero Data Weight,Pid Control,Proportional Control,Implement P Controller,Oscillations,Pd Controller,Systematic Bias,Pid Implementation,Parameter Optimization
  • SLAM (Simultaneous Localization and Mapping)
    • Localization,Planning,Segmented Ste,Fun with Parameters,SLAM,Graph SLAM,Implementing Constraints,Adding Landmarks,Matrix Modification,Untouched Fields,Landmark Position,Confident Measurements,Implementing SLAM

Taught by

Sebastian Thrun

Tags

Related Courses

3D Reconstruction - Multiple Viewpoints
Columbia University via Coursera
3D Reconstruction - Single Viewpoint
Columbia University via Coursera
Digitalisation in Aeronautics and Space
Technische Universität München (Technical University of Munich) via Coursera
Artificial Intelligence Planning
University of Edinburgh via Coursera
Inteligencia Artificial y Robótica
Universidad Anáhuac via edX