One-Shot Learning Based 3D Object Picking

Automation of processes is becoming more popular within logistics and material handling industries. As the amount of transferred objects grows there is a continuously increasing need for high efficiency, reduce cost, and of course reliability. With this project, we are utilizing the latest machine learning technology to improve the automation rate to a new level. This project is focusing on how to learn new object picking with limited training samples. In this way, our picking system is able to adapt to new scenarios easily. Meanwhile, since deep learning is more robust to shape or color changes of the object, we are able to apply this system to the warehouse, logistics, and agricultural industries.

Faculty Supervisor:

Jiannan Wang

Student:

Partner:

DaoAI Robotics Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program: