An Artificial Pain Model for a Humanoid Robot

The primary aim of this paper is to give to a humanoid robot the sense of pain. That because the pain is one of the ways to which we protect our body. Thus, we consider that a humanoid robot can take into account this sense in its behaviours to make them more realistic. Moreover, sensing the pain the robot can act in a protecting way. The perception of the pain is just one of the peculiarities, though one of the most important, of a somatosensory system that is our concluding goal.

[1]  Ignazio Infantino,et al.  Affective Human-Humanoid Interaction Through Cognitive Architecture , 2012 .

[2]  A. Patapoutian,et al.  Nociceptors: the sensors of the pain pathway. , 2010, The Journal of clinical investigation.

[3]  Giovanni Pilato,et al.  Humanoid Introspection: A Practical Approach , 2013 .

[4]  Giovanni Pilato,et al.  I Feel Blue: Robots and Humans Sharing Color Representation for Emotional Cognitive Interaction , 2012, BICA.

[5]  Giovanni Pilato,et al.  Binding representational spaces of colors and emotions for creativity , 2013, BICA 2013.

[6]  Giovanni Pilato,et al.  MULTI SOFT-SENSORS DATA FUSION IN SPATIAL FORECASTING OF ENVIRONMENTAL PARAMETERS , 2012 .

[7]  Giovanni Pilato,et al.  Creativity evaluation in a cognitive architecture , 2015, BICA 2015.

[8]  Riccardo Rizzo,et al.  A virtual layer of measure based on soft sensors , 2017, J. Ambient Intell. Humaniz. Comput..

[9]  Riccardo Rizzo,et al.  ADDING A VIRTUAL LAYER IN A SENSOR NETWORK TO IMPROVE MEASUREMENT RELIABILITY , 2015 .

[10]  Ignazio Infantino,et al.  An Artificial Behavioral Immune System for cognitive robotics , 2013, ECAL.

[11]  Umberto Maniscalco.  Virtual Sensors to Support the Monitoring of Cultural Heritage Damage , 2004, WIRN.

[12]  Giovanni Pilato,et al.  Soft Sensor based on E-αNETs , 2010, WIRN.

[13]  Luigi Fortuna,et al.  Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control) , 2006 .

[14]  Riccardo Rizzo,et al.  Analysis and visualization of meteorological emergencies , 2017, J. Ambient Intell. Humaniz. Comput..

[15]  Umberto Maniscalco,et al.  VALIDATION OF SOFT SENSORS IN MONITORING AMBIENT PARAMETERS , 2006 .