Andrew Garrett Kurbis

Efficient Visual Perception of Human-Robot Walking Environments Using Semi-Supervised Learning

Convolutional neural networks trained using supervised learning can improve visual perception for human-robot walking. These advances have been possible due to largescale datasets like ExoNet and StairNet - the largest open-source image datasets of real-world walking environments. However, these dat…