论文信息 - Social signs processing in a cognitive architecture for an humanoid robot

Social signs processing in a cognitive architecture for an humanoid robot

Abstract A social robot has to recognize human social intention in order to fully interact with him/her. People intention can be inferred by processing verbal and non-verbal communicative signs. In this work we describe an actions classification module embedded into a robot’s cognitive architecture, contributing to the interpretation of users behavior.

[1] D Feil-Seifer,et al. Socially Assistive Robotics , 2011, IEEE Robotics & Automation Magazine.

[2] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.

[3] Kerstin Dautenhahn,et al. Socially intelligent robots: dimensions of human–robot interaction , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[4] Maja Pantic,et al. Social signal processing: Survey of an emerging domain , 2009, Image Vis. Comput..

[5] Brian Scassellati,et al. Socially assistive robotics [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[6] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.

[7] María Malfaz,et al. A Biologically Inspired Architecture for an Autonomous and Social Robot , 2011, IEEE Transactions on Autonomous Mental Development.

[8] Frank Dignum,et al. Social Agents for Learning in Virtual Environments , 2015, GALA.

[9] Seng-Beng Ho. Cognitive Architecture for Adaptive Social Robotics , 2016, ICIRA.

[10] Ben Goertzel,et al. OpenPsi: Realizing Dörner's "Psi" Cognitive Model in the OpenCog Integrative AGI Architecture , 2011, AGI.

[11] Sergio Escalera,et al. A real-time Human-Robot Interaction system based on gestures for assistive scenarios , 2016, Comput. Vis. Image Underst..

[12] Wafa Johal,et al. Social Human-Robot Interaction: A New Cognitive and Affective Interaction-Oriented Architecture , 2016, ICSR.