AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION NAPLES, ITALY, FROM AUGUST 31 TO SEPTEMBER 4, 2020.
Key Dates ========= Submission opening: May 1, 2020 Submission deadline (extended) : July 17, 2020 Notification: August 10, 2020 Camera ready: August 20, 2020 Workshop: August 31, 2020 **Workshop website: *** https://www.essex.ac.uk/departments/computer-science-and-electronic-engineering/events/avhrc-2020 **Submission website: *** https://easychair.org/conferences/?conf=avhrc2020 Publication ============ All accepted papers will be published on the workshop website. Selected papers will be published in a dedicated special issue of a high quality open access journal, e.g. Frontiers in Neurorobotics. A best paper award will be announced, offering a full publication fee waiver. Submission Guidelines ===================== Two types of submissions are invited to the workshop: long papers (6 to 8 pages + n references pages) and short papers (2-4 pages + n references pages). In both cases there is no page limit for the bibliography/references (n pages) section. All submissions should be formatted according to the standard IEEE RAS Formatting Instructions and Templates available at http://ras.papercept.net/conferences/support/tex.php. Authors are required to submit their papers electronically in PDF format. At least one author of each accepted paper must register for the workshop. For any questions regarding paper submission, please email us: dimitri.ognib...@gmail.com<mailto:dimitri.ognib...@gmail.com> Presentation ============== Papers will be presented in short talks and/or poster spotlights. The organisers would like to reassure authors that, independently of any potential restriction due to the COVID-19 situation, it will be possible to present all accepted papers and to attend the keynotes, either in person or remotely, following the same rules and the same procedure of the main conference. At what is a difficult time for many people, we look forward to sharing our work with the community despite any restrictions and we invite interested colleagues to join us. More information can be found here: http://ro-man2020.unina.it/announcements.php Topics ======== Active perception for intention and action prediction Activity and action recognition in the wild Active perception for social interaction Active perception for (collaborative) navigation 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 Background ============= Humans naturally interact and collaborate in unstructured social environments, which produce an overwhelming amount of information and may yet hide behaviorally relevant variables. Finding the underlying design principles that allow humans to adaptively find and select relevant information is important for Robotics but also other fields, such as Computational Neuroscience, Interaction Design, and Computer Vision. Current solutions address specific domains, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of environmental 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 processes. 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 the gaze and actions patterns of the human partner. We would like to solicit manuscripts that present novel computational and robotic models, theories and experimental results as well as reviews relevant to these topics. Submissions will further our understanding of how humans actively control their perception during social interaction and in which conditions they fail, and how these insights may enable natural interaction between humans and artificial systems in non-trivial conditions. Organizers ================== Main organizer: Dimitri Ognibene, University of Essex, UK & University of Milano-Bicocca, Italy Communication Organisers: Francesco Rea, Instituto Italiano di Tecnologia, Italy Francesca Bianco,University of Essex, UK Vito Trianni, ISTC-CNR, Italy Ayse Kucukyilmaz, University of Nottingham, UK Review Organisers: Angela Faragasso, The University of Tokyo, Japan Manuela Chessa, University of Genova Fabio Solari, University of Genova David Rudrauf, University of Geneve, Switzerland Yan Wu, Robotics Department, Institute for Infocomm Research, A*STAR, Singapore Publication Organisers: Fiora Pirri, Sapienza - University of Rome, Italy Letizia Marchegiani, Aalborg University, Denmark Tom Foulsham, University of Essex, UK Giovanni Maria Farinella, University of Catania, Italy
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