An improved multipurpose field robot for installing construction materials

Robotica ◽  
2010 ◽  
Vol 28 (7) ◽  
pp. 945-957 ◽  
Author(s):  
Seungyeol Lee ◽  
Seungnam Yu ◽  
Seokjong Yu ◽  
Changsoo Han
Keyword(s):  
Force Feedback ◽  
Construction Materials ◽  
Human Robot Interaction ◽  
Work Environments ◽  
National Defense ◽  
Construction Sites ◽  
Robot Interaction ◽  
Hazardous Environments ◽  
Remote Sites ◽  
Field Robot

SUMMARYRecently, there has been a lot of interest concerning remote-controlled robot manipulation in hazardous environments including construction sites, national defense areas, and disaster areas. However, there are problems involving the method of remote control in unstructured work environments such as construction sites. In a previous study, to address these problems, a multipurpose field robot (MFR) system was described. Though the case studies on construction, to which “MFR for installing construction materials” was applied, however, we found some factors to be improved. In this paper, we introduce a prototype of improved multipurpose field robot (IMFR) for construction work. This prototype robot helps a human operator easily install construction materials in remote sites through an upgraded additional module. This module consists of a force feedback joystick and a monitoring device. The human–robot interaction and bilateral communication for strategic control is also described. To evaluate the proposed IMFR, the installation of construction materials was simulated. We simulated the process of installing construction materials, in this case a glass panel. The IMFR was expected to do more accurate work, safely, at construction sites as well as at environmentally hazardous areas that are difficult for humans to approach.

Developing an Educational and Research Human Robot Interaction Environment for a Mechanical Finger/Hand

2015 ◽  
Author(s):  
Christopher E. Ábrego ◽  
Panos S. Shiakolas ◽  
Michael R. Sobhy
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Open Loop ◽  
Human Robot Interaction ◽  
Environmental Data ◽  
Work Environments ◽  
Post Processing ◽  
Robot Interaction ◽  
Threshold Test ◽  
Human Operators

Human robot interaction (HRI) has become a growing area of study due to the increasing application of robots in work environments and daily life and interact and work in tandem with human operators. This synergy between humans and robots have expanded human endeavors and motivated neoteric and prospective areas of robotics research. The objective of this research is to develop an environment where both researchers and students can experience and experiment with different interaction modes with a robotic finger and hand. The acquisition and the post processing of environmental data from the hardware allow the user to envisage decision making algorithms. The present HRI environments have both closed and open loop controlled interaction modes for research and demonstration purposes. The interaction modes include direct open loop manipulation, force threshold interaction, voice commands, and variable force close. This additionally demonstrates the ease in functionality and augmentation in the testbed. As a result of speech recognition test, the testbed has a 79% success rate and has a 90% success rate in the force threshold test. The manuscript will also describe how certain actions are performed based on Prime States. An overview of the state algorithms are described as well as decision making diagrams.

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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