About this Research Topic
Wearable robotics is an intrinsically interdisciplinary topic, which involves areas ranging from neuroscience and bio-medical engineering, to electronics and control theory. In light of the typical interdisciplinary nature of this field, our Research Topic aims to bring together contributions on the control of wearable robots in a vast range of domains.
This includes not only different technologies, such as exoskeletons, soft exosuits, prostheses and orthoses, but also diverse end-users (e.g. healthy and impaired users). With such heterogeneous contributions, this Research Topic wants to highlight the state of the art on the control of wearable robots from a large and comprehensive perspective, as well as identify common control needs, requirements, designs, and challenges. Several very interesting topics are of interest to our Research Topic, including, but not limited to: important hardware specifications and need for torque control; active versus passive impedance; use of human locomotion models to enhance control performance; postural balance control; transparency and load carrying control; optimal and learning approaches; and last but not least the embodiment of neural systems on the control design.
Image credits to University of Twente, Thiago Boaventura, CEA, Mike McGregor, MIT Biomech Group
This includes not only different technologies, such as exoskeletons, soft exosuits, prostheses and orthoses, but also diverse end-users (e.g. healthy and impaired users). With such heterogeneous contributions, this Research Topic wants to highlight the state of the art on the control of wearable robots from a large and comprehensive perspective, as well as identify common control needs, requirements, designs, and challenges. Several very interesting topics are of interest to our Research Topic, including, but not limited to: important hardware specifications and need for torque control; active versus passive impedance; use of human locomotion models to enhance control performance; postural balance control; transparency and load carrying control; optimal and learning approaches; and last but not least the embodiment of neural systems on the control design.
Image credits to University of Twente, Thiago Boaventura, CEA, Mike McGregor, MIT Biomech Group
Keywords: exoskeletons, prostheses, orthoses, human-robot interaction, impedance control
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
