Lectures and Paper Presentations

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

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