Affective Human-Humanoid Interaction Through Cognitive Architecture

Infantino, Ignazio

doi:10.5772/25794

Cited by 10 publications

(3 citation statements)

References 66 publications

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“…The implemented system has been tested on the robotic platform NAO, and is an integral part of the behavioral system in the context of human-humanoid robot. The behavior comes from a cognitive architecture based on the model PSI (Cai et al, 2011), which in the past we have enriched with introspective capabilities (Infantino et al, 2013), with links between visual perceptions and emotions (Gaglio et al, 2011;Infantino et al, 2012;Infantino, 2012), and developing some creative capabilities (Augello et al, 2013b) by binding different perceptual representations. We have chosen two important sensorial stimuli that involve both high-level cognitive functions, and behavioral reactions influenced by the artificial immune system.…”

Section: The Artificial Behavioral Immune Systemmentioning

confidence: 99%

An Artificial Behavioral Immune System for cognitive robotics

Infantino¹,

Rizzo²

2013

Advances in Artificial Life, ECAL 2013

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The paper proposes the implementation of an artificial behavioral immune system (ABIS) that could be integrated on a robotic platform. The ultimate goal is to have a form of perceptual processing to create the sensation of disgust (on more in general of discomfort) that may influence the behavior that is determined by the cognitive modules. The present work, being oriented to human-robot interaction, is focused on perceptual processing of facial expression, and speech recognition. As regards the first aspect, the human face closer to the robot is detected, then facial features are extracted, and finally a vector of data which has an emotional valence linked to expression is determined. The speech is processed to recognize the individual words and the moods using a "sentiment analysis" technique. An artificial immune system is used to recognize positive and negative "feelings" that cames from interactions and generate the signal of discomfort. For training and validation we used a few human subjects and sequences of a fairy tale.

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Section: The Artificial Behavioral Immune Systemmentioning

confidence: 99%

An Artificial Behavioral Immune System for cognitive robotics

Infantino¹,

Rizzo²

2013

Advances in Artificial Life, ECAL 2013

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“…This aspect is actively discussed in the literature. An example can be considered in [32]. Besides the navigation, motion, interaction with the patient and providing service functions, the RN should recognize the patient, doctor or human nurse.…”

Section: Camerasmentioning

confidence: 99%

Synergistic Sensory Platform: Robotic Nurse

Peshko

Pawluczyk²,

Wick

2013

JLPEA

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This paper presents the concept, structural design and implementation of components of a multifunctional sensory network, consisting of a Mobile Robotic Platform (MRP) and stationary multifunctional sensors, which are wirelessly communicating with the MRP. Each section provides the review of the principles of operation and the network components’ practical implementation. The analysis is focused on the structure of the robotic platform, sensory network and electronics and on the methods of the environment monitoring and data processing algorithms that provide maximal reliability, flexibility and stable operability of the system. The main aim of this project is the development of the Robotic Nurse (RN)—a 24/7 robotic helper for the hospital nurse personnel. To support long-lasting autonomic operation of the platform, all mechanical, electronic and photonic components were designed to provide minimal weight, size and power consumption, while still providing high operational efficiency, accuracy of measurements and adequateness of the sensor response. The stationary sensors serve as the remote “eyes, ears and noses” of the main MRP. After data acquisition, processing and analysing, the robot activates the mobile platform or specific sensors and cameras. The cross-use of data received from sensors of different types provides high reliability of the system. The key RN capabilities are simultaneous monitoring of physical conditions of a large number of patients and alarming in case of an emergency. The robotic platform Nav-2 exploits innovative principles of any-direction motion with omni-wheels, navigation and environment analysis. It includes an innovative mini-laser, the absorption spectrum analyser and a portable, extremely high signal-to-noise ratio spectrometer with two-dimensional detector array

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“…Human cognitive processes are determined by a complex information processing systems, and they are influenced by emotional (see for example [4], [5], [6]) and motivational regulatory sub-systems [7].…”

Section: Introductionmentioning

confidence: 99%

Robotic Creativity Driven by Motivation and Semantic Analysis

Augello

Infantino

Pilato

et al. 2014

2014 IEEE International Conference on Semantic Computing

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The paper proposes a system architecture for artificial creativity that enables a robot to perform portraits. The proposed cognitive architecture is inspired by the PSI model, and it requires that the motivation of the robot in the execution of its tasks is influenced by urges. Such parameters depend on both internal and external evaluation mechanisms. The system is a premise for the development of an artificial artist able to develop a personality and a behavior that depends on its experience of successes and failures (competence), and the availability of different painting techniques (certainty). The creative execution is driven by the motivation arising from the urges, and the perception of the work being executed or performed. The external evaluation is obtained by analyzing the opinions expressed in natural language from people watching the realized portrait.

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Affective Human-Humanoid Interaction Through Cognitive Architecture

Cited by 10 publications

References 66 publications

An Artificial Behavioral Immune System for cognitive robotics

An Artificial Behavioral Immune System for cognitive robotics

Synergistic Sensory Platform: Robotic Nurse

Robotic Creativity Driven by Motivation and Semantic Analysis

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