scholarly journals Research on Real-time Sensing Technology of Aerospace Interactive Behavior Based on Infrared Array Force Tactile

2021 ◽  
Vol 2078 (1) ◽  
pp. 012065
Author(s):  
Bo Ni ◽  
Jiaxing Cao ◽  
Zhiyong Mao ◽  
Lei Cheng ◽  
Huifeng Shen ◽  
...  
Keyword(s):  
Detection System ◽  
Human Robot Interaction ◽  
Space Environment ◽  
Image Method ◽  
Practical Application ◽  
Robot Interaction ◽  
Interactive Behavior ◽  
Panel Test ◽  
Sensing Technology ◽  
Infrared Array

Abstract Aerospace robots can replace astronauts to complete dangerous work in the expanded space. How to efficiently and reliably interact with robots in complex and harsh space environment has become an urgent problem and technical challenge. Based on the infrared array force tactile technology, an infrared point force touch detection system is developed to realize the intention sensing of aerospace human-robot interaction. Based on multipoint positioning technology combined with image method and global combined optimal tracking method, the control software is designed, and the effective human-robot interaction in the process of cooperation is realized. Finally, the touch panel test effect of the system is given. This research can provide a theoretical basis for the practical application of aerospace human-robot interaction.

A Platform for Recognizing Interactive Behavior on Human-Robot Interaction

2011 ◽  
Vol 29 (10) ◽  
pp. 883-886
Author(s):  
Masahiro Shiomi ◽  
Yoshio Iwai ◽  
Yasuyuki Sumi ◽  
Kazuhiro Nakadai ◽  
Norihiro Hagita
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction ◽  
Interactive Behavior

scholarly journals A Multimodal Emotion Detection System during Human–Robot Interaction

Sensors ◽  
2013 ◽  
Vol 13 (11) ◽  
pp. 15549-15581 ◽  
Author(s):  
Fernando Alonso-Martín ◽  
María Malfaz ◽  
João Sequeira ◽  
Javier Gorostiza ◽  
Miguel Salichs
Keyword(s):  
Detection System ◽  
Human Robot Interaction ◽  
Emotion Detection ◽  
Robot Interaction

Design and Implementation of the Voice Command Recognition and the Sound Source Localization System for Human–Robot Interaction

Robotica ◽  
2021 ◽  
pp. 1-12
Author(s):  
M. H. Korayem ◽  
S. Azargoshasb ◽  
A. H. Korayem ◽  
Sh. Tabibian
Keyword(s):  
Source Localization ◽  
Detection System ◽  
Low Cost ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Voice Command ◽  
Design And Implementation ◽  
True Detection ◽  
The Right ◽  
The Voice

SUMMARY Human–robot interaction (HRI) is becoming more important nowadays. In this paper, a low-cost communication system for HRI is designed and implemented on the Scout robot and a robotic face. A hidden Markov model-based voice command detection system is proposed and a non-native database has been collected by Persian speakers, which contains 10 desired English commands. The experimental results confirm that the proposed system is capable to recognize the voice commands, and properly performs the task or expresses the right answer. Comparing the system with a trained system on the Julius native database shows a better true detection (about 10%).

Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes

2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

Biomimetic, sociable robots for human-robot interaction

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

Shall I trust you? From child human-robot interaction to trusting relationships

2019 ◽  
Author(s):  
Cinzia Di Dio ◽  
Federico Manzi ◽  
Giulia Peretti ◽  
Angelo Cangelosi ◽  
Paul L. Harris ◽  
...  
Keyword(s):  
Behavioral Pattern ◽  
Human Robot Interaction ◽  
School Age Children ◽  
Social Relevance ◽  
Robot Interaction ◽  
Cognitive Correlates ◽  
The Social ◽  
The Relationship

Studying trust within human-robot interaction is of great importance given the social relevance of robotic agents in a variety of contexts. We investigated the acquisition, loss and restoration of trust when preschool and school-age children played with either a human or a humanoid robot in-vivo. The relationship between trust and the quality of attachment relationships, Theory of Mind, and executive function skills was also investigated. No differences were found in children’s trust in the play-partner as a function of agency (human or robot). Nevertheless, 3-years-olds showed a trend toward trusting the human more than the robot, while 7-years-olds displayed the reverse behavioral pattern, thus highlighting the developing interplay between affective and cognitive correlates of trust.

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