Robotics

Week 1 July 8–12 Week 2 July 15–19 Week 3 July 22–26
Wireless Maze Race Sensors, Smart Phones & Robotics Artificial Intelligence and Machine Learning

Robotics is the engineering science and technology of robots and their design, production and application. Today we see robots all around us in manufacturing, transportation, exploration, surgery and laboratory applications. This course stream looks at robotics and artificial intelligence from a variety of angles. Participants will explore various areas of this fascinating field, studying the basics of electronic components, digital logic design and machine learning. Students will take part in the building and programming of robots and discuss what the increased interest in robots, robotics and artificial intelligence means to society.

ROB-1 | Wireless Maze Race

Week 1 (8–12 July 2013)

In this course, students will design and fabricate robots to rapidly navigate a challenging obstacle course. Practical design challenges in constructing a robot will be introduced and participants will have an opportunity to apply the engineering design process to their robots. Students will learn the underlying electronic theory and construct a controller for their robots. Students will gain exposure to modern wireless technology, including bluetooth, enabling integration of Android or iPhone powered smart phones.

Due to the nature of this course, both junior and senior students will be accepted.

Instructors: Sinisa Colic and Josh Dian

ROB-2 | Sensors, Smart Phones & Robotics

Week 2 (15–19 July 2013)

In this course, students will be provided with a basic robot, which they will enhance with sensors and actuators to provide environmental interaction. Students will learn the basic science behind many types of sensors and actuators found in robotics and consumer electronics including touch sensors, temperature sensors, range sensors and optical sensors. Students will integrate sensors with microcontrollers and become familiar with the tools and techniques for microcontroller development. Students will apply wireless technology to control their robots, enabling multiple control devices including desktops, iPhones and android phones.

Due to the nature of this course, both junior and senior students will be accepted.

Instructors: Sinisa Colic and Josh Dian

ROB-3 | Artificial Intelligence and Machine Learning

Week 3 (22–26 July 2013)

At first glance, robots such as Honda’s Asimo appear to be complex mechanical machines that can perform human-like tasks. It is not until later that people understand that behind all those mechanical parts and gadgets lies complex code devoted to mimicking aspects of human intelligence. In this course, you will be introduced to the field of artificial intelligence and machine learning. You will learn about machine learning algorithms such as artificial neural networks, genetic algorithms and Q-learning. You will use your knowledge of machine learning to enable your robot to face off against other robots in an autonomous challenge. Let the smartest robot win!

Due to the nature of this course, both junior and senior students will be accepted.

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