Lectures and Paper Presentations

Date	TOPIC
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

Date	TOPIC
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