Introduction to Robotics Laboratory (301-0-1)

Instructors

brenna d. argall
847/467-0862
Technological Institute, Rm A290, 2145 Sheridan Rd, EV CAMPUS

Meeting Info

Tech Institute CG50 - EECS T-L: Tues, Thurs 12:30PM - 3:20PM

Overview of class

A laboratory-based introduction to robotics. Focus will be on both hardware (sensors and actuators) and software (sensor processing and behavior development). Topics will include: the basics in kinematics, dynamics, control, and motion planning; and an introduction to Artificial Intelligence (AI) and Machine Learning (ML).

Open-loop control, with different types of hardware/motion (mobility, manipulation); Closed-loop control and sensor processing, with different types of sensors; Reactive control, behavior-based robotics, reasoning about uncertainty; Basics in AI and ML, with simple learning techniques.

Registration Requirements

Some programming experience (COMP_SCI/EECS 110 or COMP_SCI 111 or COMP_SCI 230), or permission of instructor.

Learning Objectives

At the end of this course students should understand the fundamentals of autonomous robot operation, and be able to program a robot to read from its sensors and perform simple (hard-coded and learned) tasks.

Teaching Method

Coursework will consist primarily of laboratory assignments, that include (some) hardware construction and (more) software development. Laboratory work will be done in groups of 2-3 students. Each lab assignment will be demoed and written up as a report (individually).

Class Materials (Required)

The Robotics Primer, MIT Press 2007, Maja J. Matarić.