About this Research Topic
A rapidly ageing population and a rise in chronic diseases pose significant demands on the
development of technology in healthcare. Robotic applications have played an important role
in alleviating the burden on caregiving resources while improving the quality of life of patients
and elderly people. Rehabilitation robots can help with therapeutic exercise to recover motor
capacities for people with impairment following diseases such as stroke, while various assistive robots can aid with daily tasks to enhance patients’ independence.
Human-robot interaction is the key factor that influences the performance and adoption of
such robots. The modelling of human and human-in-the-loop (HITL) control strategy is crucial
in defining how the interaction is handled. Unlike in the case of industrial robots, safety and
personalization are essential in HITL control.
The research work of human modelling and HITL control in this field involves human-centered
design with multidisciplinary backgrounds including robotics, mechatronics, control theory
and clinical therapy. The development of technologies involves comprehensive and
cooperative work between researchers, clinicians, physiotherapists, and patients.
This Research Topic aims to facilitate and disseminate the latest human modelling and control
technology in the human-robot interaction of rehabilitation and assistive robotics. Specific
subjects of interest include, but are not limited to:
- Novel mechanical design of robotic systems
- Compliant actuation
- Personalised control strategy
- Human-robot interaction
- Human modelling
- Shared decision-making and control
- Machine learning
- Pattern recognition
- Human motion control
- Human centered motion control
development of technology in healthcare. Robotic applications have played an important role
in alleviating the burden on caregiving resources while improving the quality of life of patients
and elderly people. Rehabilitation robots can help with therapeutic exercise to recover motor
capacities for people with impairment following diseases such as stroke, while various assistive robots can aid with daily tasks to enhance patients’ independence.
Human-robot interaction is the key factor that influences the performance and adoption of
such robots. The modelling of human and human-in-the-loop (HITL) control strategy is crucial
in defining how the interaction is handled. Unlike in the case of industrial robots, safety and
personalization are essential in HITL control.
The research work of human modelling and HITL control in this field involves human-centered
design with multidisciplinary backgrounds including robotics, mechatronics, control theory
and clinical therapy. The development of technologies involves comprehensive and
cooperative work between researchers, clinicians, physiotherapists, and patients.
This Research Topic aims to facilitate and disseminate the latest human modelling and control
technology in the human-robot interaction of rehabilitation and assistive robotics. Specific
subjects of interest include, but are not limited to:
- Novel mechanical design of robotic systems
- Compliant actuation
- Personalised control strategy
- Human-robot interaction
- Human modelling
- Shared decision-making and control
- Machine learning
- Pattern recognition
- Human motion control
- Human centered motion control
Keywords: Human-robot interaction, robotic systems, personalised control strategy, rehabilitation engineering, assistive technology, optimisation-based control, machine learning
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