This is the course blog for Co-Lab: Robot Media Studio, a course taught at The New School, School of Media Studies in the Spring of 2014.

Instructor: Peter Asaro asarop AT newschool.edu
TAs: Eva Jacobus ejacobus AT gmail.com
Thomas Charging Hawk chart058 AT newschool.edu
Sepand Ansari ansas091 AT newschool.edu

Time: Thursday, 7:00 – 9:45 pm
Location: IFP Made in NY Media Center, DUMBO,
30 John Street (between Jay Street and Pearl St), Brooklyn, NY 11201
Course syllabus is here: http://peterasaro.org/courses/2014Studio.html
Course blog is here: https://robotstudio2014.wordpress.com

Course Description:

This course explores the potential of robotic media platforms and computer vision for cinematic expression. As a Co-Lab, students will work in collaborative groups that will utilize the latest robotic and computer vision technologies to make short films. The first half of the semester will consist of an introduction to these technologies and in-class group exercises that will familiarize you with advanced digital camera techniques, and robotic camera control. These camera techniques and platforms will include advanced computer vision techniques such as Time-lapse, High Dynamic Range Imagery, Motion Magnification, Facial Recognition, Object Tracking, Optic Flow, and others, as well as 3D active-vision systems such as the Xbox Kinect. Robotic camera control will be explored through the use of remote-operated and computer-controlled servo-driven cameras, including RC vehicles, mobile robot dollys, robotic arms, and quadrotors (drones). We will explore a variety of control methods from remote control to pre-programmed and 3D model-driven control, as well as how these can be combined with vision techniques for the interactive control of cameras. We will also explore how these cinematographic techniques relate to visual storytelling and expression. In the second half of the course, students will pursue projects of their own design in groups, with the goal of producing a short experimental or narrative video utilizing these techniques. Previous programming experience is not required, but students will be expected to learn and apply basic programming skills in this course, and will be introduced to programming languages such as Python and Java, and programming platforms and libraries such as Arduino, ROS and OpenCV.


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