A vision based guide robot system: Initiating proactive social human robot interaction in museum scenarios

Author(s):  
M. Golam Rashed ◽  
R. Suzuki ◽  
A. Lam ◽  
Y. Kobayashi ◽  
Y. Kuno
2019 ◽  
pp. 70-91
Author(s):  
A.A. Karpov ◽  
S.F. Sergeev ◽  
O.I. Lakhin ◽  
M.V. Mikhayluk ◽  
B.I. Kryuchkov ◽  
...  

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.


i-com ◽  
2017 ◽  
Vol 16 (2) ◽  
pp. 71-85
Author(s):  
Philipp Graf ◽  
Manuela Marquardt ◽  
Diego Compagna

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.


Robotics ◽  
2010 ◽  
Author(s):  
N. Elkmann ◽  
E. Schulenburg ◽  
M. Fritzsche

Author(s):  
Hai An Vu ◽  
◽  
Fangyan Dong ◽  
Kaoru Hirota

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.


2020 ◽  
Vol 32 (1) ◽  
pp. 224-235
Author(s):  
Wei-Fen Hsieh ◽  
◽  
Eri Sato-Shimokawara ◽  
Toru Yamaguchi

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.


2019 ◽  
Vol 16 (4) ◽  
pp. 172988141985613
Author(s):  
Xiangxing Liu ◽  
Guokun Zuo ◽  
Jiaji Zhang ◽  
Jiajin Wang

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.


2019 ◽  
Vol 40 (1) ◽  
pp. 105-117
Author(s):  
Yanan Li ◽  
Keng Peng Tee ◽  
Rui Yan ◽  
Shuzhi Sam Ge

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.


2013 ◽  
Vol 10 (02) ◽  
pp. 1350017 ◽  
Author(s):  
HO SEOK AHN ◽  
DONG-WOOK LEE ◽  
DONGWOON CHOI ◽  
DUK-YEON LEE ◽  
HO-GIL LEE ◽  
...  

Human-like appearance and movement of social robots is important in human–robot interaction. This paper presents the hardware mechanism and software architecture of an incarnate announcing robot system called EveR-1. EveR-1 is a robot platform to implement and test emotional expressions and human–robot interactions. EveR-1 is not bipedal but sits on a chair and communicates information by moving its upper body. The skin of the head and upper body is made of silicon jelly to give a human-like texture. To express human-like emotion, it uses body gestures as well as facial expressions decided by a personality model. EveR-1 performs the role of guidance service in an exhibition and does the oral narration of fairy tales and simple conversation with humans.


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