This Research Topic aims to promote the understanding of multi-modal sensorimotor coordination of human beings and to realize the coordination principle of robots in order to enhance human-robot interactions.
The integration of the sensory and motor systems allows human beings to make full use of sensory information to take meaningful motor actions. Multi-modality is often needed to gather various types of sensory information to better understand the context of complicated tasks in an ever-changing environment; For example, a cognitive or physical human-robot interaction scenario. The integrated multi-modal and sensorimotor coordination are therefore crucial for humans to tackle complex tasks requiring interactions or collaborations between humans and robots, as is increasingly seen in many different domains such as industry, healthcare, and rehabilitation.
The new generation of robots are meant to gradually participate in our lives and coexist in human living environments. This has encouraged investigation into technologies enabling effective interactions between humans and robots. The goal for human-robot interaction research is to make robots capable of operating in human-centered spaces to enhance work efficiency, introduce flexibility and adaptability in solutions, and improve the quality of human life.
Investigation on the underlying mechanisms of multi-modal sensorimotor integration and coordination of humans will provide insight into the adaptability and compliance of human intelligence with biomechanical sensorimotor control. It will also advance the development of an equivalent robot partner through the transfer and deployment of knowledge learned from humans towards an enhanced human-robot interaction. In this challenging scenario, both human and robot partners are supposed to perceive their own state and the state of their partner during the interaction through a multi-modal manner: Observing the posture of the partner, monitoring the forces transmitted through a common operated object, communicating verbally to understand the intention of the partner, adjusting the collaboration to accomplish the task in an ergonomic and efficient way, and assigning roles for the task according to the cognitive and physical strengths of the human and robot partners.
Areas of interest for this Research Topic include but are not limited to:
• Multi-modal sensorimotor integration mechanisms
• Biomechanical modelling of the human body
• Bio-inspired models for skill transfer
• Multi-modal interaction
• Intention identification in human-robot interaction
• Robot learning from human demonstration
• Human-robot interaction with AI
• Ergonomic human-robot interaction
• Interaction control in robotic systems
• Shared authority framework for human-robot collaboration
• Wearable devices developed for human-robot interaction
• Human-robot interaction applications for healthcare, industry, assistance, and rehabilitation
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.
Please include a separate word compatible document with this information.
This Research Topic aims to promote the understanding of multi-modal sensorimotor coordination of human beings and to realize the coordination principle of robots in order to enhance human-robot interactions.
The integration of the sensory and motor systems allows human beings to make full use of sensory information to take meaningful motor actions. Multi-modality is often needed to gather various types of sensory information to better understand the context of complicated tasks in an ever-changing environment; For example, a cognitive or physical human-robot interaction scenario. The integrated multi-modal and sensorimotor coordination are therefore crucial for humans to tackle complex tasks requiring interactions or collaborations between humans and robots, as is increasingly seen in many different domains such as industry, healthcare, and rehabilitation.
The new generation of robots are meant to gradually participate in our lives and coexist in human living environments. This has encouraged investigation into technologies enabling effective interactions between humans and robots. The goal for human-robot interaction research is to make robots capable of operating in human-centered spaces to enhance work efficiency, introduce flexibility and adaptability in solutions, and improve the quality of human life.
Investigation on the underlying mechanisms of multi-modal sensorimotor integration and coordination of humans will provide insight into the adaptability and compliance of human intelligence with biomechanical sensorimotor control. It will also advance the development of an equivalent robot partner through the transfer and deployment of knowledge learned from humans towards an enhanced human-robot interaction. In this challenging scenario, both human and robot partners are supposed to perceive their own state and the state of their partner during the interaction through a multi-modal manner: Observing the posture of the partner, monitoring the forces transmitted through a common operated object, communicating verbally to understand the intention of the partner, adjusting the collaboration to accomplish the task in an ergonomic and efficient way, and assigning roles for the task according to the cognitive and physical strengths of the human and robot partners.
Areas of interest for this Research Topic include but are not limited to:
• Multi-modal sensorimotor integration mechanisms
• Biomechanical modelling of the human body
• Bio-inspired models for skill transfer
• Multi-modal interaction
• Intention identification in human-robot interaction
• Robot learning from human demonstration
• Human-robot interaction with AI
• Ergonomic human-robot interaction
• Interaction control in robotic systems
• Shared authority framework for human-robot collaboration
• Wearable devices developed for human-robot interaction
• Human-robot interaction applications for healthcare, industry, assistance, and rehabilitation
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.
Please include a separate word compatible document with this information.
