Introduction to Perception and Robotics

Course Notes

Agents

• Probabilityand Bayes Nets
• Inference in HMMs. Same as notes below, but with differences highlighted.
• Inference in Graphical Models
• Prof. Hutchinson’s Intro to Probability Review Session Slides
• Inference in Graphical Models

A Differential Drive Robot

• Continuous Densities and Monte Carlo Localization

Planar Manipulators

• Computer Vision Introduction and Fundamentals

Vision for Robots

• Computer Vision Introduction and Fundamentals

From the web

On Bayes nets

• Bayes nets without tears
• Some lecture notes from UCF

Monte Carlo Localization

• The original 1999 MCL paper
• MCL 2001 Journal paper

Other Resources

• Python
• Pytorch