Is it possible to build machines that think and control themselves? Brokoslaw Laschowski, a PhD student in Systems Design Engineering, is combining his expertise in computational neuroscience and machine learning to improve robot control for his thesis.
Laschowski’s research focuses on deep learning for visual intelligence, modelling the visual information processing mechanisms in the brain. These brain-inspired algorithms are used for autonomous robot control and decision-making
PhD candidate Brokoslaw Laschowski wears a robot used to develop and test machine learning algorithms for control.
To learn more about this project, see "Environment classification for robotic leg prostheses and exoskeletons using deep convolutional neural networks," published in Frontiers in Neurorobotics.
This research was in collaboration with 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.
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