Kostas Daniilidis

 

 


 

Kostas' research interests are in computer vision and robotic perception. His research addresses challenges in the perception of motion and space, as applied in navigation and manipulation. Kostas' research gives solutions to perceptual tasks such as semantic localization, perception of self-motion, and 3-D object recognition.




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E.g., 2016-12-03
E.g., 2016-12-03
E.g., 2016-12-03
Nov 28th 2016

How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.

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