Adaptive Robot to Person Encounter (original) (raw)
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2011 International Conference on Collaboration Technologies and Systems (CTS), 2011
A social intelligent robot should be capable of observing and understanding the changes in the environment so as to behave in a proper manner. It also needs to take into account user preferences, user disability level, and user profile. This paper presents a research work based on socially assistive robotics (SAR) technology that aims at providing affordable personalized physical and cognitive assistance, motivation, and companionship to users. The work described here tries to validate that a robotic system can adapt its behavior to the user profile.
3rd Workshop on Adapted intEraction with SociAl Robots
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Human-Robot Interaction (HRI) is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by, or with, humans. In HRI there is a consensus about the design and implementation of robotic systems that should be able to adapt their behavior based on user actions and behavior. The robot should adapt to emotions, personalities, and it should also have a memory of past interactions with the user to become believable. This is of particular importance in the field of social robotics and social HRI. The aim of this workshop is to bring together researchers and practitioners who are working on various aspects of social robotics and adaptive interaction. The workshop leads to a multidisciplinary research agenda that will inform future research directions and hopefully, forge some research collaborations.
A Survey of Behavioural Models for Social Robots
2019
The cooperation between humans and robots is becoming increasingly important in our society. Consequently, there is a growing interest in the development of models that can enhance the interaction between humans and robots. A key challenge in the Human-Robot Interaction (HRI) field is to provide robots with cognitive and affective capabilities, developing architectures that let them establish empathetic relationships with users. Several models have been proposed in recent years to solve this open-challenge. This work provides a survey of the most relevant attempts/works. In details, it offers an overview of the architectures present in literature focusing on three specific aspects of HRI: the development of adaptive behavioural models, the design of cognitive architectures, and the ability to establish empathy with the user. The research was conducted within two databases: Scopus and Web of Science. Accurate exclusion criteria were applied to screen the 1007 articles found (at the e...
A Survey of Behavioral Models for Social Robots
Robotics, 2019
The cooperation between humans and robots is becoming increasingly important in our society. Consequently, there is a growing interest in the development of models that can enhance and enrich the interaction between humans and robots. A key challenge in the Human-Robot Interaction (HRI) field is to provide robots with cognitive and affective capabilities, by developing architectures that let them establish empathetic relationships with users. Over the last several years, multiple models were proposed to face this open-challenge. This work provides a survey of the most relevant attempts/works. In details, it offers an overview of the architectures present in literature focusing on three specific aspects of HRI: the development of adaptive behavioral models, the design of cognitive architectures, and the ability to establish empathy with the user. The research was conducted within two databases: Scopus and Web of Science. Accurate exclusion criteria were applied to screen the 4916 art...
INTRO: A multidisciplinary approach to intelligent Human-Robot Interaction
This paper presents the interactive robotics concept being developed by the INTRO research network. The aim is to create a new generation of intelligent mobile robots that operate in close interaction with humans in unstructured, dynamically changing environments. The INTRO network consists of a team of researchers, from academia and industry, which create a multidisciplinary framework that entails Cooperative Robot Learning, Cognitive Human-Robot Interaction (HRI), and Intelligent Interface Design. The robotic system being developed will be tested in two application scenarios: the Robot Waiter, and the Urban Search and Rescue (USAR). For these scenarios, two different robotic platforms are used in the implementation stage. This paper presents an overview of the obtained research objectives, and proposes a framework for the integration of work and the implementation of the expected results. Finally, the paper describes a potential impact through development and use of research results and proposes future lines of research.
Characterize a Human-Robot Interaction: Robot Personal Assistance
2018
In the last years, the development of robots is entering a new stage where the focus is placed on interaction with people in their daily environments. With the improvement of more and more complex robots to be used in rehabilitation, heath care, service or other applications, robot-human interaction is a rapidly growing area of research. This chapter explores the topic of human-robot interaction. Finally, we presented a proposed framework design that will operate with a person. The system considers the person attitudes level while interact with. The goal is to propose an architecture that monitoring person attitudes in real scenario, and detect patterns of behavior in different occasions. The robot will interact with a person and its training a decision support system that in a real scenario that provide the robot to makes interactions with a person.
2009
The main goal of this article is to report and analyze the applicability of a general-purpose social robot, developed in the context of the RoboCup @Home league, in three different naturalistic environments: (i) home, (ii) school classroom, and (iii) public space settings. The evaluation of the robot's performance relies on its degree of social acceptance, and its abilities to express emotions and to interact with humans using human-like codes. The reported experiments show that the robot has a large acceptance from expert and nonexpert human users, and that it is able to successfully interact with humans using human-like interaction mechanisms, such as speech and visual cues (particularly face information). It is remarkable that the robot can even teach children in a real classroom.
… of Complexity and System Science. Springer, 2009
Robots are poised to fill a growing number of roles in today's society, from factory automation to service applications to medical care and entertainment. While robots were initially used in repetitive tasks where all human direction is given a priori, they are becoming involved in increasingly more complex and less structured tasks and activities, including interaction with people required to complete those tasks. This complexity has prompted the entirely new endeavor of Human-Robot Interaction (HRI), the study of how humans interact with robots, and how best to design and implement robot systems capable of accomplishing interactive tasks in human environments. The fundamental goal of HRI is to develop the principles and algorithms for robot systems that make them capable of direct, safe and effective interaction with humans. Many facets of HRI research relate to and draw from insights and principles from psychology, communication, anthropology, philosophy, and ethics, making HRI an inherently interdisciplinary endeavor.
Proactive behavior of an autonomous mobile robot for human-assisted learning
2013 IEEE RO-MAN, 2013
During the last decade, there has been a growing interest in making autonomous social robots able to interact with people. However, there are still many open issues regarding the social capabilities that robots should have in order to perform these interactions more naturally. In this paper we present the results of several experiments conducted at the Barcelona Robot Lab in the campus of the "Universitat Politècnica de Catalunya" in which we have analyzed different important aspects of the interaction between a mobile robot and nontrained human volunteers. First, we have proposed different robot behaviors to approach a person and create an engagement with him/her. In order to perform this task we have provided the robot with several perception and action capabilities, such as that of detecting people, planning an approach and verbally communicating its intention to initiate a conversation. Once the initial engagement has been created, we have developed further communication skills in order to let people assist the robot and improve its face recognition system. After this assisted and online learning stage, the robot becomes able to detect people under severe changing conditions, which, in turn enhances the number and the manner that subsequent human-robot interactions are performed.
Human Model Simulation in Human Robot Interaction
As robots are becoming more seen, used, and interacted with in our everyday lives, reassuring the transparency of safety, usage, and the purpose of their existence is one of the fundamental areas of artificial intelligence (A.I.). In this paper I report my work with the Naoqi robot Pepper to simulate a model in Unity 3d of Pepper's vision from the world or in other words, model what Pepper sees in the environment around itself. Having this knowledge, we can work, research, and debug our later programs of Pepper easier.