Adaptive Mensch-Roboter-Kollaboration in der Montage*/Adaptive human-robot collaboration in assembly – Manual Processes in the Internet of Production – Uncertainty in a digitally simulated world?

2019 ◽  
Vol 109 (09) ◽  
pp. 694-698
Author(s):  
H. Petruck ◽  
A. Mertens ◽  
V. Nitsch
Keyword(s):  
Interaction Design ◽  
Time Measurement ◽  
Human Robot Interaction ◽  
The Internet ◽  
Assembly Process ◽  
Robot Interaction ◽  
Manual Assembly ◽  
Time Prediction ◽  
Human Robot Collaboration ◽  
Faktor Mensch

Dieser Beitrag beschreibt eine Möglichkeit, den Faktor Mensch bei der Planung manueller Montagevorgänge in der Mensch-Roboter-Kollaboration (MRK) zu berücksichtigen. Das Ziel ist die echtzeitfähige Prädiktion der Dauer des Montageprozesses auf Mikro-, Meso- und Makro-Ebene der Produktion auf Basis von Methods-Time Measurement (MTM). Darauf aufbauend soll durch Adaption der Montagedauer eine ergonomische Interaktion zwischen Mensch und Roboter geschaffen werden.   This paper describes one way to consider human factors when planning manual assembly processes in human-robot collaboration (HRC). The goal is the real-time prediction of the duration of the assembly process on the micro-, meso- and macro-level of the production based on Methods-Time Measurement (MTM). This prediction is then used for an ergonomic human-robot interaction design by adapting the predicted assembly durations.

scholarly journals Should my robot know what's best for me? Human–robot interaction between user experience and ethical design

AI & Society ◽  
2021 ◽  
Author(s):  
Nora Fronemann ◽  
Kathrin Pollmann ◽  
Wulf Loh
Keyword(s):  
User Experience ◽  
Interaction Design ◽  
Real Life ◽  
Well Being ◽  
Design Principles ◽  
Human Robot Interaction ◽  
Ethical Challenges ◽  
Original Design ◽  
Robot Interaction ◽  
Ethical Design

AbstractTo integrate social robots in real-life contexts, it is crucial that they are accepted by the users. Acceptance is not only related to the functionality of the robot but also strongly depends on how the user experiences the interaction. Established design principles from usability and user experience research can be applied to the realm of human–robot interaction, to design robot behavior for the comfort and well-being of the user. Focusing the design on these aspects alone, however, comes with certain ethical challenges, especially regarding the user’s privacy and autonomy. Based on an example scenario of human–robot interaction in elder care, this paper discusses how established design principles can be used in social robotic design. It then juxtaposes these with ethical considerations such as privacy and user autonomy. Combining user experience and ethical perspectives, we propose adjustments to the original design principles and canvass our own design recommendations for a positive and ethically acceptable social human–robot interaction design. In doing so, we show that positive user experience and ethical design may be sometimes at odds, but can be reconciled in many cases, if designers are willing to adjust and amend time-tested design principles.

scholarly journals A Walking Training System with Customizable Trajectory Designing

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Shiyang Dong ◽  
Takafumi Matsumaru
Keyword(s):  
Interaction Design ◽  
Detection Method ◽  
Training System ◽  
Human Robot Interaction ◽  
Design Concept ◽  
Experimental Results ◽  
Robot Interaction ◽  
Coordination Training ◽  
Foot Model ◽  
New System

AbstractThis paper shows a novel walking training system for foot-eye coordination. To design customizable trajectories for different users conveniently in walking training, a new system which can track and record the actual walking trajectories by a tutor and can use these trajectories for the walking training by a trainee is developed. We set the four items as its human-robot interaction design concept: feedback, synchronization, ingenuity and adaptability. A foot model is proposed to define the position and direction of a foot. The errors in the detection method used in the system are less than 40 mm in position and 15 deg in direction. On this basis, three parts are structured to achieve the system functions: Trajectory Designer, Trajectory Viewer and Mobile Walking Trainer. According to the experimental results,we have confirmed the systemworks as intended and designed such that the steps recorded in Trajectory Designer could be used successfully as the footmarks projected in Mobile Walking Trainer and foot-eye coordination training would be conducted smoothly.

Using Virtual Reality to Test Human-Robot Interaction During a Collaborative Task

2019 ◽  
Author(s):  
Roberta Etzi ◽  
Siyuan Huang ◽  
Giulia Wally Scurati ◽  
Shilei Lyu ◽  
Francesco Ferrise ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Manufacturing Industry ◽  
Physiological Responses ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Assembly Task ◽  
Head Mounted Display ◽  
Collaborative Platform ◽  
Simple Assembly ◽  
Human Robot Collaboration

Abstract The use of collaborative robots in the manufacturing industry has widely spread in the last decade. In order to be efficient, the human-robot collaboration needs to be properly designed by also taking into account the operator’s psychophysiological reactions. Virtual Reality can be used as a tool to simulate human-robot collaboration in a safe and cheap way. Here, we present a virtual collaborative platform in which the human operator and a simulated robot coordinate their actions to accomplish a simple assembly task. In this study, the robot moved slowly or more quickly in order to assess the effect of its velocity on the human’s responses. Ten participants tested this application by using an Oculus Rift head-mounted display; ARTracking cameras and a Kinect system were used to track the operator’s right arm movements and hand gestures respectively. Performance, user experience, and physiological responses were recorded. The results showed that while humans’ performances and evaluations varied as a function of the robot’s velocity, no differences were found in the physiological responses. Taken together, these data highlight the relevance of the kinematic aspects of robot’s motion within a human-robot collaboration and provide valuable insights to further develop our virtual human-machine interactive platform.

scholarly journals A variable admittance control strategy for stable physical human–robot interaction

2019 ◽  
Vol 38 (6) ◽  
pp. 747-765 ◽  
Author(s):  
Federica Ferraguti ◽  
Chiara Talignani Landi ◽  
Lorenzo Sabattini ◽  
Marcello Bonfè ◽  
Cesare Fantuzzi ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Admittance Control ◽  
Robot Interaction ◽  
Interaction Control ◽  
Human Arm ◽  
Industrial Operations ◽  
Novel Method ◽  
The Stability ◽  
Stability Issues ◽  
Human Robot Collaboration

Admittance control allows a desired dynamic behavior to be reproduced on a non-backdrivable manipulator and it has been widely used for interaction control and, in particular, for human–robot collaboration. Nevertheless, stability problems arise when the environment (e.g. the human) the robot is interacting with becomes too stiff. In this paper, we investigate the stability issues related to a change of stiffness of the human arm during the interaction with an admittance-controlled robot. We propose a novel method for detecting the rise of instability and a passivity-preserving strategy for restoring a stable behavior. The results of the paper are validated on two robotic setups and with 50 users performing two tasks that emulate industrial operations.

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