On the Attempt to Implement Social Addressability within a Robotic System

i-com ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 71-85
Author(s):  
Philipp Graf ◽  
Manuela Marquardt ◽  
Diego Compagna
Keyword(s):  
Experimental Approach ◽  
Human Robot Interaction ◽  
Light Conditions ◽  
Robot System ◽  
Robot Interaction ◽  
Additional Information ◽  
The Status ◽  
User Friendly ◽  
To Receive ◽  
Insight Into

AbstractWe conducted a Human-Robot Interaction (HRI) study during a science event, using a mixed method experimental approach with quantitative and qualitative data (adapted version of Godspeed Questionnaire and audio-visual material analysed videographically). The main purpose of the research was to gather insight into the relevance of the so-called “point of interaction” for a successful and user-friendly interaction with a non-anthropomorphic robot. We elaborate on this concept with reference to sociological theories under the heading of “addressability” and “social address” and generate hypotheses informed by former research and theoretical reflections. We implement an interface on our robot system, comprising two LEDs, which indicate the status of the robot/interaction, and which might possibly serve as basal form of embodied social address. In one experimental condition, the movements were accompanied by a light choreography, the other one was conducted without the LEDs. Our findings suggest a potential relevance of social address for the interaction partner to receive additional information, especially if the situation is a contingent one. Nevertheless, the overall rating on the Godspeed scales showed no significant differences between the light conditions. Several possible reasons for this are discussed. Limitations and advantages are pointed out in the conclusion.

scholarly journals Determining Shape and Size of Personal Space of a Human when Passed by a Robot

2021 ◽  
Author(s):  
Margot M. E. Neggers ◽  
Raymond H. Cuijpers ◽  
Peter A. M. Ruijten ◽  
Wijnand A. IJsselsteijn
Keyword(s):  
Mobile Robots ◽  
Humanoid Robot ◽  
Personal Space ◽  
Human Robot Interaction ◽  
Autonomous Mobile Robots ◽  
Robot Interaction ◽  
Human Comfort ◽  
Navigation Algorithms ◽  
Insight Into ◽  
Shape And Size

AbstractAutonomous mobile robots that operate in environments with people are expected to be able to deal with human proxemics and social distances. Previous research investigated how robots can approach persons or how to implement human-aware navigation algorithms. However, experimental research on how robots can avoid a person in a comfortable way is largely missing. The aim of the current work is to experimentally determine the shape and size of personal space of a human passed by a robot. In two studies, both a humanoid as well as a non-humanoid robot were used to pass a person at different sides and distances, after which they were asked to rate their perceived comfort. As expected, perceived comfort increases with distance. However, the shape was not circular: passing at the back of a person is more uncomfortable compared to passing at the front, especially in the case of the humanoid robot. These results give us more insight into the shape and size of personal space in human–robot interaction. Furthermore, they can serve as necessary input to human-aware navigation algorithms for autonomous mobile robots in which human comfort is traded off with efficiency goals.

scholarly journals Human-Robot Interaction in a Manned Space Flight: An Ontological Approach.

2019 ◽  
pp. 70-91
Author(s):  
A.A. Karpov ◽  
S.F. Sergeev ◽  
O.I. Lakhin ◽  
M.V. Mikhayluk ◽  
B.I. Kryuchkov ◽  
...  
Keyword(s):  
Subject Area ◽  
Human Robot Interaction ◽  
Robot System ◽  
Robot Interaction ◽  
Holistic View ◽  
Ontological Approach ◽  
Manned Space ◽  
Adverse Environmental Conditions ◽  
Manned Space Missions ◽  
Scientific Fields

The use of robotic systems (RSs) in future manned space missions requires the creation of the cosmonaut-researcher a holistic view on the forms of interaction within the “human – robot” system (HRS) under the adverse environmental conditions. For these purposes, educational and reference materials (ERMs) are needed in fields of ergonomics and its representation in the design of human-machine interfaces (HMI). The paper considers the application of the ontological approach in the actual subject area – the ergonomics of the HMI, as the way of interdisciplinary integration various scientific fields – Informatics, ergonomics, psychophysiology, etc.

Mobile Robot System "LiSA" for Safe Human-Robot Interaction

Robotics ◽  
2010 ◽  
Author(s):  
N. Elkmann ◽  
E. Schulenburg ◽  
M. Fritzsche
Keyword(s):  
Mobile Robot ◽  
Human Robot Interaction ◽  
Robot System ◽  
Robot Interaction

RTM (Robot Technology Middleware) Based Dynamic Interrupt System for Communication Between Humans and Robots

2011 ◽  
Vol 15 (5) ◽  
pp. 506-514
Author(s):  
Hai An Vu ◽  
◽  
Fangyan Dong ◽  
Kaoru Hirota
Keyword(s):  
Operating System ◽  
Programming Languages ◽  
Human Robot Interaction ◽  
Robot System ◽  
Robot Interaction ◽  
Affective Communication ◽  
System Responsiveness ◽  
Robot Technology ◽  
Retrieval Engine ◽  
The Given

A dynamic fuzzy interrupt system is proposed to optimize responsiveness of robots in humans-robots communication. The system guarantees a continuous and efficient human-robot interaction by assigning priority to the given instruction and it remains immune to distractions caused by conflicting instructions. The system is embedded in the robot technology components that are able to implement by different programming languages, under the different operating system. Experiments to simulate actions of mascot robot system such as the eye robot, mobile robot, and information retrieval engine involving 10,000 instructions show a 14% improvement in the system responsiveness and a delay time of less than 2 seconds. The implementation of home party scenario between four humans (a host and three guests) and five eye robots shows the affective communication, and confirms to facilitate casual communication between humans and robots with limited interruption.

Investigation of Robot Expression Style in Human-Robot Interaction

2020 ◽  
Vol 32 (1) ◽  
pp. 224-235
Author(s):  
Wei-Fen Hsieh ◽  
◽  
Eri Sato-Shimokawara ◽  
Toru Yamaguchi
Keyword(s):  
Humanoid Robot ◽  
Expression Patterns ◽  
Human Robot Interaction ◽  
Robot System ◽  
Robot Interaction ◽  
Robot Behavior ◽  
Verbal Behaviors ◽  
Individual Needs ◽  
Human Motions

In our daily conversation, we obtain considerable information from our interlocutor’s non-verbal behaviors, such as gaze and gestures. Several studies have shown that nonverbal messages are prominent factors in smoothing the process of human-robot interaction. Our previous studies have shown that not only a robot’s appearance but also its gestures, tone, and other nonverbal factors influence a person’s impression of it. The paper presented an analysis of the impressions made when human motions are implemented on a humanoid robot, and experiments were conducted to evaluate impressions made by robot expressions to analyze the sensations. The results showed the relation between robot expression patterns and human preferences. To further investigate biofeedback elicited by different robot styles of expression, a scenario-based experiment was done. The results revealed that people’s emotions can definitely be affected by robot behavior, and the robot’s way of expressing itself is what most influences whether or not it is perceived as friendly. The results show that it is potentially useful to combine our concept into a robot system to meet individual needs.

scholarly journals Sensorless force estimation of end-effect upper limb rehabilitation robot system with friction compensation

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141985613
Author(s):  
Xiangxing Liu ◽  
Guokun Zuo ◽  
Jiaji Zhang ◽  
Jiajin Wang
Keyword(s):  
Friction Force ◽  
Disturbance Observer ◽  
Human Robot Interaction ◽  
Rehabilitation Robot ◽  
End Effect ◽  
Force Estimation ◽  
Robot System ◽  
Robot Interaction ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

In human robot interaction systems, human intent detection plays an important role to improve the interactive performances and then the rehabilitation effects. A study is proposed to estimate the interactive forces that indirectly detect the human motion intent. A disturbance observer is designed to estimate interactive torques and friction forces without force sensors, and then a friction force model is constructed to estimate the friction force in the robot system. To detect the human–robot interaction force, we subtract the friction force from disturbance observer estimation result. Several experiments were performed to test the performances of the proposed methods. Those methods were applied in an end-effect upper limb rehabilitation robot system. The results show that the precision of the estimated sensor force can increase 5% than the force sensor. The senseless force estimation method we proposed in this article can be an alternative option in force control tasks when force sensors are not suitable.

scholarly journals DaTo: an atlas of biological databases and tools

2016 ◽  
Vol 13 (4) ◽  
pp. 30-38 ◽  
Author(s):  
Qilin Li ◽  
Yincong Zhou ◽  
Yingmin Jiao ◽  
Zhao Zhang ◽  
Lin Bai ◽  
...  
Keyword(s):  
Interaction Network ◽  
Biological Databases ◽  
Web Interface ◽  
Abstract Section ◽  
Manual Curation ◽  
The Status ◽  
User Friendly ◽  
The Relationship ◽  
Geographical Locations ◽  
Insight Into

Summary This work presents DaTo, a semi-automatically generated world atlas of biological databases and tools. It extracts raw information from all PubMed articles which contain exact URLs in their abstract section, followed by a manual curation of the abstract and the URL accessibility. DaTo features a user-friendly query interface, providing extensible URL-related annotations, such as the status, the location and the country of the URL. A graphical interaction network browser has also been integrated into the DaTo web interface to facilitate exploration of the relationship between different tools and databases with respect to their ontology-based semantic similarity. Using DaTo, the geographical locations, the health statuses, as well as the journal associations were evaluated with respect to the historical development of bioinformatics tools and databases over the last 20 years. We hope it will inspire the biological community to gain a systematic insight into bioinformatics resources. DaTo is accessible via http://bis.zju.edu.cn/DaTo/.

scholarly journals Reinforcement learning for human-robot shared control

2019 ◽  
Vol 40 (1) ◽  
pp. 105-117
Author(s):  
Yanan Li ◽  
Keng Peng Tee ◽  
Rui Yan ◽  
Shuzhi Sam Ge
Keyword(s):  
Reinforcement Learning ◽  
Closed Loop ◽  
Human Robot Interaction ◽  
Shared Control ◽  
Closed Loop System ◽  
Robot System ◽  
Robot Interaction ◽  
Learning Capability ◽  
Content Type ◽  
Control Objective

Purpose This paper aims to propose a general framework of shared control for human–robot interaction. Design/methodology/approach Human dynamics are considered in analysis of the coupled human–robot system. Motion intentions of both human and robot are taken into account in the control objective of the robot. Reinforcement learning is developed to achieve the control objective subject to unknown dynamics of human and robot. The closed-loop system performance is discussed through a rigorous proof. Findings Simulations are conducted to demonstrate the learning capability of the proposed method and its feasibility in handling various situations. Originality/value Compared to existing works, the proposed framework combines motion intentions of both human and robot in a human–robot shared control system, without the requirement of the knowledge of human’s and robot’s dynamics.

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