Deep Learning/Computer Vision for Robotic Manipulation

Research is rapidly progressing in enhancing the Artificial Intelligence of Robotics. One backbone of this rapid change lies in Deep Learning. Deep Learning refers to new algorithms that are capable of learning behaviors after being trained by several thousands or even millions of examples of what should be done given an input. My project will be doing computer vision related research in this field. Computer vision mainly refers to tasks where a significant part of input is from a visual source, like a camera. For example, a robot would receive a video feed from a camera as input, akin to how a human would see from their eyes. My research is to delve into new ways to train a robot such that it can perform human like tasks (such as picking up objects or inserting pegs in holes) primarily using video feed input from a camera. TO BE CONT’D

Faculty Supervisor:

Deepa Kundur

Student:

Partner:

Osaka University

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: