Students also work on Natural Language Processing (NLP) and Gesture Recognition to make robots more interactive.
They train AI to:
Recognize and respond to human speech using speech-to-text models like Whisper and Google Speech AI.
Understand gestures and facial expressions with motion tracking and deep learning.
Develop virtual AI assistants that integrate with robotics.
This technology is used in assistive robots, customer service bots, and even robotic teachers in education.