CFP – Special Issue in Neurorobotics - Active Vision and Perception in Human-Robot Collaboration
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Scope: Humans naturally interact and collaborate in unstructured social environments that produce an overwhelming amount of information and may yet hide behaviourally relevant variables. Uncovering the underlying design principles that allow humans to adaptively find and select relevant information, e.g. effectors, affordances, etc, is important for Robotics, but also other fields, such as Computational Neuroscience and Interaction Design.
Current solutions cover specific tasks, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of sensing conditions which the systems may have to deal with. Adaptive control of the sensors and of the perception process is a key solution found by nature to cope with such problems, as shown by the foveal anatomy of the eye and its high mobility.
Alongside this interest in “active” vision, collaborative robotics has recently progressed to human-robot interaction in real manufacturing. Measuring and modelling task-specific gaze behaviours seems to be essential for smooth human-robot interaction. Indeed, anticipatory control for human-in-the-loop architectures, which can enable robots to proactively collaborate with humans, relies heavily on observing gaze and actions patterns of the human partner.
We are interested in manuscripts that present novel computational and robotic models, theories and experimental results as well as reviews relevant to understand how human actively control their perception during social interaction and in which condition they fail, and how these insights may enable natural interaction between humans and artificial systems in non-trivial conditions.
Topics: topics of interest include (but are not limited to):
Active perception for intention and action prediction
Activity and action recognition in the wild
Active perception for social interaction
Human-robot collaboration in unstructured environments
Human-robot collaboration in presence of sensory limits
Joint Human-Robot search and exploration
Testing setup for social perception in real or virtual environments
Setup for transferring active perception skills from humans to robots
Machine learning methods for active social perception
Benchmarking and quantitative evaluation with human subject experiments
Gaze-based Factors for Intuitive Human-Robot Collaboration
Active perception modelling for social interaction and collaboration
Head-mounted eye tracking and gaze estimation during social interaction
Estimation and guidance of partner situation awareness and attentional state in human-robot collaboration
Multimodal Social perception
Adaptive social perception
Egocentric vision in social interaction;
Explicit and implicit sensorimotor communication;
Social attention;
Natural human-robot (machine) interaction;
Collaborative exploration;
Joint attention;
Multimodal social attention;
Attentive activity recognition;
Belief and mental state attribution in robots
Keywords: Active Vision, Social Perception, Intention Prediction, Egocentric Vision, Natural Human-Robot Interaction
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** Important Dates **:
Abstract Submission Deadline: 18/07/2020
Full Paper Submission Deadline: 31/10/2020
Following the general publication policy of the journal, as soon as papers are accepted for publication, they will be published shortly thereafter and available to online independently on the submission deadlines.
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** Topic Editors **:
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** Joint Events **:
AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop within the 29th IEEE International Conference on Robot and Human Interactive Communication, Naples Italy, from August 31 to September 4, 2020.
Selected papers from the workshop will be published with a discounted fee.
The best paper award will be announced, offering a full publication fee waiver.