About this Research Topic
However, given the complex human-robot interaction system and person-to-person variabilities, active devices encounter a common challenge of achieving the best control performance. For example, after some time-consuming tuning of control parameters for one user, the same set of optimal control parameters may not be appropriate for other human users, or at least the control performance may not be optimal for others. Therefore, one key solution to address this challenge is to customize/personalize robotic control parameters to provide the optimal assistance for each user, which will contribute to maximizing the assistance benefits for either unaffected users or individuals with mobility deficits.
The scope of this Research Topic is the robotic assistance personalization for human locomotion tasks from either lower-limb exoskeletons or prosthetics.
Related to the human-machine-interaction system, topics of interest include, but are not limited to, the following:
• what are the control objectives
• optimization approach
• control parameters
• cost function formulation
• machine learning
Research articles and review articles are welcome.
Keywords: Wearable robotics, Human-in-the-loop, Human-machine-interaction, Locomotion assistance, Optimal control
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