Ghent University06.26.17
The Biomechanics and Motor Control research unit of the Department of Movement and Sports Sciences of Ghent University performs research on human gait assistance by means of ankle-foot exoskeletons. In 2013, they realized as first to augment human walking. Since then, they improved the exoskeletons’ assistance properties which lead to an increase in walking efficiency of about 12 percent vs. walking with normal shoes ranking it amongst the best in the world.
Parallel, scientists from Carnegie Mellon University have developed a method to overcome the biggest challenge in the design of human exoskeletons and prostheses: what should the device do in order to provide optimal assistance? The novel approach applied a wide range of exoskeleton behaviors while the user walked on a treadmill. The user’s energy consumption was measured and used to optimize multiple parameters controlling the exoskeleton’s behavior. This resulted in a user-specific exoskeleton behavior that reduced the energy consumption to a greater extent than any prior device. Whereas earlier methods made it practically impossible to optimize more than two control parameters, the new approach applies a by biological evolution inspired algorithm enabling the optimization of multiple control parameters in a short time period. Furthermore, the exposure to a wide range of exoskeleton behaviors facilitates the user’s motor learning which is also crucial to the success of this approach.
In the accompanying Science perspective letter, scientists of Ghent University and the University of Nebraska elaborate on the user’s motor learning. They state that variable practice leads to better motor skills in sports, physical therapy and professional settings but that it never has been thoroughly implemented in the context of exoskeletons and prostheses before. Whereas exoskeleton and prosthesis research is typically conducted under very stable circumstances in a lab context, variable practice resembles more the nature of walking in daily life as this happens on uneven terrain and consists of constantly changing walking speeds. Given the impressive results of the first application of variable practice and the successes in other fields, it is expected that a huge progression can be made by focusing upon different training modalities in which the user learns to walk with his exoskeletons or prostheses.
Human-in-the-loop optimization. Image courtesy of Zhang et al., Science 356 (2017).
Recently, one of the co-authors of the Science paper rejoined the Department of Movement and Sports Sciences of Ghent University to incorporate this new approach in the ongoing exoskeleton research. One of their projects aims to improve the walking performance of patients with reduced exercise capacity by implementing exoskeleton walking sessions in their rehabilitation.
This new approach together with more attention to the human inside the exoskeleton or prosthesis will have a transformative effect on the field, enabling improved designs and practices leading to exceptional improvements in mobility for users with diverse physiological needs.
Find more information on the study here.
Parallel, scientists from Carnegie Mellon University have developed a method to overcome the biggest challenge in the design of human exoskeletons and prostheses: what should the device do in order to provide optimal assistance? The novel approach applied a wide range of exoskeleton behaviors while the user walked on a treadmill. The user’s energy consumption was measured and used to optimize multiple parameters controlling the exoskeleton’s behavior. This resulted in a user-specific exoskeleton behavior that reduced the energy consumption to a greater extent than any prior device. Whereas earlier methods made it practically impossible to optimize more than two control parameters, the new approach applies a by biological evolution inspired algorithm enabling the optimization of multiple control parameters in a short time period. Furthermore, the exposure to a wide range of exoskeleton behaviors facilitates the user’s motor learning which is also crucial to the success of this approach.
In the accompanying Science perspective letter, scientists of Ghent University and the University of Nebraska elaborate on the user’s motor learning. They state that variable practice leads to better motor skills in sports, physical therapy and professional settings but that it never has been thoroughly implemented in the context of exoskeletons and prostheses before. Whereas exoskeleton and prosthesis research is typically conducted under very stable circumstances in a lab context, variable practice resembles more the nature of walking in daily life as this happens on uneven terrain and consists of constantly changing walking speeds. Given the impressive results of the first application of variable practice and the successes in other fields, it is expected that a huge progression can be made by focusing upon different training modalities in which the user learns to walk with his exoskeletons or prostheses.
Human-in-the-loop optimization. Image courtesy of Zhang et al., Science 356 (2017).
Recently, one of the co-authors of the Science paper rejoined the Department of Movement and Sports Sciences of Ghent University to incorporate this new approach in the ongoing exoskeleton research. One of their projects aims to improve the walking performance of patients with reduced exercise capacity by implementing exoskeleton walking sessions in their rehabilitation.
This new approach together with more attention to the human inside the exoskeleton or prosthesis will have a transformative effect on the field, enabling improved designs and practices leading to exceptional improvements in mobility for users with diverse physiological needs.
Find more information on the study here.
