Neuroscience-Inspired Machine Learning for Robot Control

Brok Laschowski in an Exoskeleton

A research project led by PhD student Brok Laschowski focuses on developing deep learning models for visual intelligence, modelling the visual information processing neural networks in the brain. These brain-inspired algorithms are used for autonomous robot control and decision-making. 

For more information, see "Environment classification for robotic leg prostheses and exoskeletons using deep convolutional neural networks," published in Frontiers in Neurorobotics. 

This research is in collaboration with fellow PhD student William McNally and Dr. Alexander Wong, Canada Research Chair in Artificial Intelligence and Medical Imaging, and supervised by Dr. John McPhee, Canada Research Chair in Biomechatronic System Dynamics. All four researchers are also members of the Waterloo Artificial Intelligence Institute.