SOCIALLY ASSISTIVE ROBOTS

SOCIALLY ASSISTIVE ROBOTS

We have two ongoing projects:

  • MSc.P2 – This project aims to develop a fall detection model combining the NAO robot with an ensemble of YOLO and CNN deep-learning algorithms for use in elderly care homes. (MSc student: Eric Otieno) - Funded by UNESCO-TWAS
  • MSc.P4 – This project aims to integrate knowledge graphs with a social robot (Pepper /NAO) to enhance the semantic comprehension of text to support students with visual impairments. (MSc student: Peter Kabunyi) - Funded by UNESCO-TWAS