Call For Papers - Frontiers Research Topic: 

Closing the Loop: From Human Behavior to Multisensory Robots

I. Aim and Scope

The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioral responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics, and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty.

This Research Topic invites authors to submit new findings, theories, systems, and trends in multisensory learning for intelligent agents and robots with the aim to foster the development of novel and impactful research which will contribute to the understanding of human behavior and the development of artificial systems operating in real-world environments.

II. Potential Topics

Topics include, but are not limited to:

- New methods and applications for crossmodal processing and multisensory integration (e.g. vision, audio, haptics, proprioception)

- Machine learning and neural networks for multisensory robot perception

- Computational models of crossmodal attention and perception

- Bio-inspired approaches for crossmodal learning

- Multisensory conflict resolution and executive control

- Sensorimotor learning for autonomous agents and robots

- Crossmodal learning for embodied and cognitive robots

III. Submission

- Abstract - 18th January 2019

- Paper Submission - 12th May 2019

More information:

IV. Guest Editors

Pablo Barros, University of Hamburg, Germany

Doreen Jirak, Hamburg University, Germany

German I. Parisi, Apprente, Inc., USA

Jun Tani, Okinawa Institute of Science and Technology, Japan