[robotics-worldwide] [journals] [CFP] Special Issue on "Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction" in Frontiers in Neurorobotics - Abstract deadline: August 17

Cheng Fang chfa at mmmi.sdu.dk
Tue Jul 2 04:54:45 PDT 2019

*Apologies for cross-posting*


Special Issue on "Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction" in Frontiers in Neurorobotics

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

Submission of abstract: August 17, 2019
Submission of full manuscript: December 15, 2019

Abstracts are documents summarizing the contribution to be submitted as full manuscripts.
Full manuscripts should comply with Frontiers author's guidelines:

Topic Editors
Bin Fang, Tsinghua University
Cheng Fang, University of Southern Denmark
Li Wen, Beihang University
Poramate Manoonpong, University of Southern Denmark

Cheng Fang
Assistant Professor
SDU Robotics, The Maersk Mc-Kinney Moller Institute

Email: chfa at mmmi.sdu.dk
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University of Southern Denmark
Campusvej 55
DK-5230 Odense M

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