Tony Belpaeme is Professor of Cognitive Systems and Robotics at the University of Plymouth. He is associated with the Cognition Institute, the Centre for Robotics and Neural Systems and is a member of the University of Plymouth Marine Institute. He is a member of the College of the EPSRC. His research interests include social systems, cognitive robotics,  and artificial intelligence in general. At Plymouth he works alongside Angelo Cangelosi, Davide Marocco, Phil Culverhouse and Guido Bugmann on building robots that take inspiration from humans, both in their appearance and their intelligence.
Until April 2005 he was a postdoctoral fellow of the Flemish fund for scientific research (FWO Vlaanderen), and was affiliated with the Artificial Intelligence Laboratory, directed by Luc Steels, at the Vrije Universiteit Brussel. He held a guest professorship at the same university, where he taught introductory artificial intelligence and autonomous systems.

International Journal of Humanoid Robotics

Special Issue on Face-to-Face Communication with Humanoid Robots in International Journal of Humanoid Robotics (IJHR).

To establish better multi-modal communication between people and robots, it is important for robots (or even for computers) to understand and respond in more natural and familiar ways, that is, ways similar to those found in human-to-human communication. Face-to-face communication is one of the most important of these capabilities, and requires a range of sophisticated and interlinked visual and auditory skills. The actions of the robot face need to be coordinated: expressive auditory output needs to be synchronized with the corresponding visually rich dynamics of the humanoid robot face or computer face models. Face-to-face communication becomes even more important when robots have an anthropomorphic form with multi-modal input and output capabilities, as users typically expect human-like social competencies from the robot.

To achieve such communication skills for humanoids it is essential to integrate (1) the interpretation of multi-modal face and gesture data from users, including not only the reading of audio and video input, but also the interpretation of its semantic content, (2) synthesis of appropriate responses (using for example a dialogue manager) and (3) coherent multi-modal face output (synchronizing auditory-visual speech output, facial expressions and head motions).

As has been demonstrated on a number of robotic heads, expressing emotional states together with acoustic information yields a more promising natural interaction, as users perceive the robot to have a personality which resonates with their intuitive sense of interaction.

This special issue will gather expertise from robotics and other disciplines to address various aspects of face-to-face communication, especially those that move forward the realization of physical systems for effective human-robot communication.

Topics of Interest

  • Multi-modal input / output for facial human-machine interaction
  • Robotic heads for face-to-face communication
  • Facial animation/articulation
  • Face expression models
  • Conversational agents for humanoid robots
  • Psychophysics studies of face-to-face communication with humanoid robots

Submission of Papers

Authors should follow the guidelines of the International Journal of Humanoid Robotics (IJHR). The format is described at http://www.worldscinet.com/ijhr/mkt/guidelines.shtml

 Prospective authors should submit an electronic copy of their completed manuscripts through the on-line submission system at  http://www.editorialmanager.com/ijhr/default.asp?pg=login.asp with the note "This paper is submitted to the Special Issue on Face-to-Face Communication with Humanoid Robots" according to the following submission schedule.

 Proposed Schedule

  • Paper deadline: July 15th, 2012
  • Notification: September 15th, 2012
  • Final paper due: October 15th, 2012

Guest Editors

Takaaki Kuratate (Technical University Munich, Germany) <kuratate@tum.de>, Tony Belpaeme (Plymouth University, UK) <tony.belpaeme@plymouth.ac.uk> and Gordon Cheng (Technical University Munich, Germany) <gordon@tum.de>.

Journal of Human-Robot Interaction

Special Issue on HRI system studies for the Journal of Human-Robot Interaction.

We invite you to submit to the fourth issue of the Journal of Human Robot Interaction (JHRI). This special issue will focus on the concept of "systems”. HRI systems are often realized through a complex integration of relevant state-of-art algorithms, software, sensors, and actuators. As such, advances in techniques and approaches for integrating components onto a robotic system are essential to advance human-robot interaction. To develop such techniques and systems requires one to address real-world challenges, particularly those arising from the complex nature of human-robot interaction embedded in dynamic social and/or task environment. Progress in building HRI systems has great practical relevance, as it lifts robotics out of structured environments and towards unstructured dynamic environments while interacting more naturally with operators and naïve users. The special issue aims to highlight system-related papers that report on the advance of the state-of-art in HRI and that share lessons learned from system-related studies.

A unique feature of this special issue is that the authors of accepted papers will be invited to give a 20-minute talk at HRI2013 (the 8th ACM/IEEE International Conference on Human-Robot Interaction). This opportunity will allow the dissemination of systems work to a large and diverse audience of HRI researchers and industry representatives.

  • Topics of interest include, but are not limited to:
  • Novel HRI systems/applications for real-world use
  • Systems work that demonstrate novel ways of human-robot interaction
  • Architectures and frameworks for building HRI systems, e.g. shared autonomy frameworks.
  • Technological advances, including but not limited to
    • algorithms and demonstrations in computer vision or other sensors supporting HRI
    • enabling advances in speech/acoustic signal processing
    • advances in language understanding,
    • advances in mobility or dexterity of robots

Papers must contain high-quality original contributions and be prepared in accordance with the Journal of Human Robot Interaction standards. We will champion submissions that include either (a) strong novel techniques accompanied with an appropriate evaluation of the proposed technique and including an explanation of relevance to HRI, or (b) systems work that enables novel real-world human-robot interaction accompanied with evidence describing how people used, interacted with, and accepted the developed system. We also welcome novel ways of reporting system work if accompanied by appropriate evidence. Submitted manuscripts must not have been published or be under review for possible publication. All papers will be reviewed in a single-blind process. Submission Instructions: JHRI is a completely open access (OA) journal, supporting free (for authors and readers) and unrestricted access to research information on the Web and open commentary from the community on published papers. Submissions will be accepted online: humanrobotinteraction.org/journal Papers will be reviewed in a single-blind manner. As such, please include authors’ names and affiliations.

Important Dates

  • Friday, August 31, 2012 - Submission deadline
  • October 12, 2012 - Notification of initial reviews
  • October 26, 2012 - Revised submission deadline
  • December 7, 2012 - Notification of final reviews
  • December 14, 2012 - Final camera-ready submission deadline
  • February 1, 2013 - Online publication
  • March 4-6, 2013 - Oral presentation at HRI2013

Guest editors: Takayuki Kanda (ATR) and Tony Belpaeme (the University of Plymouth)

current projects

  • ALIZ-EThe ALIZ-E project "Adaptive Strategies for Sustainable Long-Term Social Interaction". Integrated project under the 7th framework programme of the European Union.  Plymouth coordinates the 8.3 M€ 4.5-year project, of which Plymouth receives 1.4 M€. The ALIZ-E consortium consists of 7 academic partners (Tony Belpaeme as coordinator, Deutsches Forschungszentrum für Künstliche Intelligenz, Vrije Universiteit Brussel, Netherlands Organization for Applied Scientific Research, Imperial College, University of Hertfordshire, National Research Council Padova), one hospital (San Raffaele del Monte Tabor, Italy) and one SME (Gostai, Paris). ALIZ-E runs from 2010 to 2014.
  • The ROBOT-ERA project "Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for ageing population”. Integrated Project under the 7th framework programme of the European Union. 2012-2016,  6.602M EUR project, for which Plymouth receives 898,440 EUR. Partners include Scuola Superiore di Studi Universitari Sant'Anna, Pisa (Prof. Paolo Dario, Project Coordinator); Instituto Nazionale di Riposo e Cura per Anziani, Ancona, Italy; Youse GmbH, Berlin, Germany; Orebro University, Sweden; University of Hamburg, Germany; Metralabs GmbH, Ilmenau, Germany; STMicroElectronics, Italy; RoboTech Srl, Sarzana, Italy; TechnoDeal, Peccioli, Italy; Municipality of Peccioli, Italy; Lansgarden Fastigheter, Orebro, Sweden.

lighthead robot

The Concept project is drawing to a close. LightHead robot The LightHead robot, being developed since 2009, was presented at the RobotVille festival at the Science Museum in London. Frederic Delaunay and Joachim De Greeff spent an entire week demonstrating the robot to the public. There was some interesting coverage of our robot, among others on the CNN site, the Evening Herald and Vimeo.

A number of interesting retro-projected robot faces have sprouted up in 2011, there is MaskBot at Munchen and FurHat from KTH.

 Media attention and the facts

Our work and specifically the ALIZ-E project has received quite some attention in the media recently (Scientific Amerian, IEEE Explore, BBC, ...). Perhaps time to get some facts right.
  • The Nexi robot (I said Kismet, but got quoted as saying Nexi) is not scary, but a ground breaking HRI prototype which has been carefully designed to avoid being perceived as uncanny. Ishiguro's geminoid is scary though.
  • Gostai makes robot middleware, it does not make the Nao robot.
  • ALIZ-E is of course a consortium consisting of research institutes, universities, an SME and a hospital. Despite ever increasing scholarly performance, schools are not part of our research consortium yet.
  • Speech recognition programs don't sound like anything, not even like adults, TTS engines however do.
  • Robots will come at night and swap your toothpaste for glue.

Alife Approaches to Artificial Language Evolution

The Alife Approaches to Artificial Language Evolution (AAALE 2011) is a Satellite Workshop at ECAL2011. The workshop brings together researchers who are attempting to simulate the emergence and cultural evolution of communication systems with properties similar to those found in human natural languages. The workshop focuses in particular on experiments that use physically embodied humanoid robots and target communication systems that exhibit grammatical structure and involve rich grounded conceptualizations of the world co-evolving with language.

The AAALE workshop (pronounced as "Triple Ale") will be held at the European Conference on Artificial Life (ECAL 2011), at the Cité Universitaire de Paris (France).

Submission deadline: 15 May 2011

Organisers: Luc Steels (University of Brussels and Sony CSL Paris) and Tony Belpaeme (University of Plymouth).

TAROS 2010

The 11th Conference Towards Autonomous Robotic Systems took place in Plymouth, UK from 31 August to 2 September 2010. The three day conference closed with an industry workshop, bringing together the leading UK robotics industry and leading academics in personal robotics.

Tony Belpaeme
School of Computing, Communications and Electronics
University of Plymouth
Portland Square A318
Plymouth PL4 8AA
United Kingdom

Email: tony . belpaeme @ plymouth . ac . uk
Web: http://www.tech.plym.ac.uk/SoCCE/staff/TonyBelpaeme/
Phone: +44-1752-586212
Fax: +44-1752-586300