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Develop Vision Intelligence for Pepper Robot

Primary supervisor

Jianfei Cai

Deep learning has achieved ground-breaking performance in many vision tasks in the recent years. The objective of this project is to study how the state-of-the-art deep learning based vision models can be applied to the Pepper Robot we have to enhance its vision capability such as face recognition, expression classification, vision based navigation.

This is a "research and development project" best for students who are independent and willing to take up challenges with high expectation in the grade when fulfilled the somewhat challenging requirements. Under-performing is likely to fail to obtain the passing requirements. It is also a good practice for students who wish to pursue further study at a postgraduate/PhD level.

Student cohort

Double Semester

Aim/outline

The objective of this project is to study how the state-of-the-art deep learning based vision models can be applied to the Pepper Robot we have to enhance its vision capability such as face recognition, expression classification, vision based navigation.

URLs/references

https://www.softbankrobotics.com/emea/en/pepper

https://group.softbank/en/sustainability/society/pepper-program

 

Required knowledge

The student must have knowledge on deep learning (e.g. taking online Stanford deep learning, computer vision related courses) and is skillful in Python programming.