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Learning robotic grasping for e-commerce sortation
We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, and needs to then plan and execute a grasp. This is an open research problem at the cutting edge of robotics and AI and we plan to use a combination of state of the art academic research as well as internally developed algorithms.
Faculty Supervisor:
Sanja Fidler
Student:
Jun Shu Song
Partner:
Kindred Systems Inc
Discipline:
Computer science
Sector:
Information and communications technologies
University:
Program:
Accelerate
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