Integrating neuroscience and machine learning for robot control
Research led by PhD student Brok Laschowski has gained international recognition, such as being featured on BBC News and highlighted in a keynote address by the President and CEO of NVIDIA.
Brok’s research focuses on deep learning 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 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 members of the Waterloo Artificial Intelligence Institute.
This article was also picked up and published in many places elsewhere online, including The Robot Report, The Engineer (UK), and Unite.AI,