Semi-autonomous manufacturing systems: The role of the human–machine interface software and of the manufacturing tracking software

Mechatronics ◽  
2005 ◽  
Vol 15 (10) ◽  
pp. 1191-1205 ◽  
Author(s):  
J. Norberto Pires
Keyword(s):  
Manufacturing Systems ◽  
Human Machine Interface ◽  
Machine Interface

Software Framework for Advanced Error Troubleshooting in Flexible Manufacturing System

2013 ◽  
Vol 397-400 ◽  
pp. 21-24 ◽  
Author(s):  
Lehel Csokmai ◽  
Ovidiu Moldovan ◽  
Ioan Constantin Tarca ◽  
Radu Tarca
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Human Machine Interface ◽  
Software Framework ◽  
New Type ◽  
Machine Interface ◽  
Framework System

This paper introduces a new type of software framework for error troubleshooting in flexible manufacturing systems using a frame marker device. Our framework system meant to resolve the failures originated from the human-machine interface and to generate self-training from previous experience.

scholarly journals Augmented reality in error troubleshooting inside flexible manufacturing cells

2015 ◽  
Vol 2 (1-2.) ◽  
Author(s):  
Lehel Csokmai ◽  
Radu Tarca ◽  
Moldovan Ovidiu
Keyword(s):  
Augmented Reality ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Human Machine Interface ◽  
Software Framework ◽  
Flexible Manufacturing Cells ◽  
New Type ◽  
Machine Interface ◽  
Framework System

A new type of software framework for error troubleshooting in flexible manufacturing systems using a frame marker device. Our framework system meant to resolve the failures originated from the human-machine interface and to generate self-training from previous experience.

Designing the human machine interface in the ATIS domain

1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  
Keyword(s):  
Human Machine Interface ◽  
Machine Interface

scholarly journals Evaluation of Multimodal External Human–Machine Interface for Driverless Vehicles in Virtual Reality

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue
Keyword(s):  
New Technology ◽  
Pedestrian Safety ◽  
Human Machine Interface ◽  
Visual Features ◽  
Visual Modality ◽  
Human Voice ◽  
Road Users ◽  
Machine Interface ◽  
Interaction Efficiency ◽  
Physical Features

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.

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