Arash Arami - Principal Investigator
Arash is an Assistant Professor with the Department of Mechanical and Mechatronics Engineering at the University of Waterloo.
He is the head of Neuromechanics and Assistive Robotics Laboratory, member of Robohub at the University of Waterloo, and cross-appointed scientist at the Toronto Rehabilitation Institute.
Before, he was a Research Associate in Human Robotics Group at the Imperial College London, from August 2015 to December 2017. He was also a Postdoctoral Researcher at Ecole Polytechnique Fédéral de Lausanne (EPFL) from March 2014 to August 2015 in the Laboratory of Movement Analysis and Measurement. He obtained his PhD from EPFL in February 2014.
His main research interests are:
1) to investigate human neuromechanics (neural control of movements and biomechanics), motor control and learning using system identification and machine learning techniques
2) to investigate human-robot interaction, collaborative control, co-adaptation, and optimal policy for personalized assistance and rehabilitative robotic systems
3) to develop intelligent and learning-based robotics systems for assistance and sensorimotor augmentation
4) to develop intelligent wearable systems to monitor and feedback human subject states using a variety of light weight sensors and machine learning techniques
The subject-specific neuromechanical models, control theory and machine learning techniques enable us to build personalized adaptive controller to provide assistance/rehabilitation through robotic systems such as wearable exoskeletons. Affected movement and locomotion due to neurological conditions, aging, orthopedic disease or amputation are also investigated in his research group.
ME 780 (Human Movement Neuromechanics)
ME 547 (Robot Manipulators: Kinematics, Dynamics, Control and more)
ME 360 (Introduction to Control Systems)
at Imperial College: (Human Neuromechanical Control and Learning), (Machine Learning and Neural Computations)
at EPFL: (Analysis and Modelling of Locomotion), (Sensors in Biomedical Instrumentation)
at U of Tehran: (Pattern Recognition), (Machine Learning)