Lectures and Paper Presentations

Jan-22 Intro:  HRI + Course Overview
Jan-27 Probability Theory
Jan-29 Bayes Nets
Feb-3 Markov Models + Hidden Markov Models
Feb-5 Intention Recognition
Feb-10 Intentional and Legible Motion
Feb-12 Bayes Filtering + Kalman Filters
Feb-17 Particle Filters
Feb-19 Social Navigation
Feb-26 NVB: Gestures
Mar-2 NVB: Gaze
Mar-4 Decision-Making and MDP
Mar-9 MDP Value Iteration + POMDP
Mar-11 Learning from Demonstration / Multimodal Dialog
Mar-16 Human-Robot Collaboration
Mar-18 Supervised Learning
Mar-23 Reinforcement Learning
Mar-25 Prelim  (ºoº)

ROS Tutorial Submissions

Date Assignment
Jan-31 ROS 1 – Intoxicated Turtle
Feb-14 ROS 2 – Leader-Follower
Feb-28 ROS 3 – Social Navigation
Mar-13 20 ROS 4 – Manipulation

Spring Break

Lectures and Project Presentations

Apr-6 Project Proposals
Apr-8 Experiment Design
Apr-13 Measurements + Metrics
Apr-15 Project Workshopping 
Apr-20 Statistics + Descriptives
Apr-22 Inference + T-test
Apr-27 ANOVA
Apr-29 Final Project Presentations
May-4 Final Project Presentations