Human-Machine Speech-Based Interfaces with Augmented Reality and Interactive Systems for Controlling Mobile Cranes

Majewski, Maciej; Kacalak, Wojciech

doi:10.1007/978-3-319-43955-6_12

Cited by 31 publications

(21 citation statements)

References 10 publications

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“…Other technologies, like force feedback [50], or acoustic cues [51] are used as well. Concerning user input, prominent interaction methods are gesture recognition [52,53], the direction of gaze [54], speech recognition [50], or discrete hardware solutions. Discrete user input hardware can range from mouse and keyboard to hand-scanners [55].…”

Section: Industrial Augmented Reality In Support Of Industry 40mentioning

confidence: 99%

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Masood

Egger

2019

Robotics and Computer-Integrated Manufacturing

319

189

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Highlights o Industrial Augmented Reality (AR) is a central part of Industry 4.0 initiatives o Providing guidance on which aspects industry should focus on to ensure AR implementation success o Technology context and organisational fit are key success factors for the AR implementation o User barrier and external support do not significantly influence the AR implementation success o While technological aspects are important, organisational issues are more relevant for industry

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Section: Industrial Augmented Reality In Support Of Industry 40mentioning

confidence: 99%

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Masood

Egger

2019

Robotics and Computer-Integrated Manufacturing

319

189

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“…2 was used in simulation testing to assess the stability of the mobile crane handling system. The simulation model built with the use of the integrated CAD/CAE system makes it possible to assess the stability of the crane system through the example of the HIAB XS 111 crane with the proposed interaction and control system [29,[30][31][32][33][34][35][36].…”

Section: Methodology Of the Assessment Of The Stability Of The Crane mentioning

confidence: 99%

Crane Stability Assessment Method in the Operating Cycle

2018

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The article presents stability assessment of the mobile crane handling system based on the developed method with the use of the mathematical model built and the model built in the integrated CAD/CAE environment. The model proposed consists of the main crane assemblies coupled together: the truck with outrigger system and the base, the slewing column, the inner and outer arms, the six-member telescopic boom, the hook with lifting sling and the transported load. Analyses were conducted of the displacements of the mass centre of the crane system, reactions of the outrigger system, stabilizing and overturning torques that act on the crane as well as the safety indicator values for the given movement trajectories of the crane working elements.

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“…The proper selection of gestures used to give precise commands enables effective and intuitive interaction with machinery without having to be close to it or to learn how to operate a complicated control panel. Gestures and hand-motion control systems can be used for mobile robots, humanoid robots [9], flying robots [10], industrial manipulators [11], electro-hydraulic manipulators [12] and cranes [13][14][15]. Attempts have been made to use them in surgical robots [16] for controlling data displayed on a monitor without having to touch the keyboard or the mouse [17] as this would ensure maintaining a sterile environment within the operating theatre.…”

Section: Gesture Control Systemsmentioning

confidence: 99%

The use of machine vision to control the basic functions of a CNC machine tool using gestures

Miądlicki

Saków

2017

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This paper presents a concept of a vision system which can simplify the way in which some basic functions of CNC machines can be controlled. The proposed system enables the operator to control a machine tool using gestures. The developed solution is based on Microsoft Kinect for a Windows v2 sensor with a time-offlight camera. A gesture recognition module was implemented in the VC 760 milling machine with an open control system (O.C.E.A.N.). To conduct tests of the proposed interface, a set of gestures used to control a CNC machine was developed. Furthermore, the concept, the structure of the system and the test results are discussed. In summary, the advantages and potential problems of the proposed control system and plans for future development are discussed.

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Human-Machine Speech-Based Interfaces with Augmented Reality and Interactive Systems for Controlling Mobile Cranes

Cited by 31 publications

References 10 publications

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

Crane Stability Assessment Method in the Operating Cycle

The use of machine vision to control the basic functions of a CNC machine tool using gestures

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