Lectures and Paper Presentations

Date	TOPIC
Aug-23	Intro:  HRI + Course Overview
Aug-28	Probability Theory
Aug-30	Bayes Nets
Sep-4	Markov Models
Sep-6	Intention Recognition
Sep-11	Intentional and Legible Motion
Sep-13	Hidden Markov Models
Sep-18	Social Navigation
Sep-20	Kalman Filters + Particle Filters
Sep-25	NVB: Gestures
Sep-27	Decision-Making and MDP
Oct-2	NVB: Gaze
Oct-4	MDP Value Iteration + POMDP
Oct-11	Handovers / Multimodal Dialog
Oct-16	Human-Robot Collaboration
Oct-18	Supervised Learning
Oct-23	Reinforcement Learning
Oct-25	Learning from Demonstration / Socially Guided Robot Learning
Oct-30	Project Proposals

ROS Tutorial Submissions

Date	Assignment
Sep-3	ROS 1 – Intoxicated Turtle
Sep-21	ROS 2 – Leader-Follower
Oct-5	ROS 3 – Social Navigation
Nov-7	ROS 4 – Manipulation

Nov-1: Midterm / Prelim  (ºoº)

Lectures and Project Presentations

Date	TOPIC
Nov-6	Experiment Design
Nov-8	Measurements + Metrics
Nov-13	Project Design
Nov-15	Statistics + Descriptives
Nov-20	Inference + T-test
Nov-27	ANOVA
Nov-29	Final Project Presentations
Dec-4	Final Project Presentations