Author: Murray Lewis BabcockPublisher:
ISBN:
Category : Automation
Languages : en
Pages : 282
Book Description
Reorganization by Adaptive Automation
Author: Murray Lewis BabcockPublisher:
ISBN:
Category : Automation
Languages : en
Pages : 282
Book Description
Adaptive Automation for Customized Products
Author: Sanjay NambiarPublisher: Linköping University Electronic Press
ISBN: 9180756786
Category :
Languages : en
Pages : 62
Book Description
In today’s fast-paced industrial landscape, the drive for greater efficiency and flexibility in product development has sparked significant interest in innovative automation technologies. This thesis explores the usefulness of various automation techniques for customized products such as Knowledge-Based Engineering (KBE), Multidisciplinary Optimization (MDO) and machine learning frameworks. The research begins by establishing an automated framework for fixture design, combining design automation and MDO to streamline the design process. It then moves to optimizing gas turbines, introducing an automation framework that merges CAD templates with KBE principles. For complex and unstructured production, this thesis explores the use of Reinforcement Learning (RL) to tackle challenges in unstructured manufacturing. By utilizing lightweight physics-based engines and RL, the research advances automated assembly validation and mobile robot operations, pushing the boundaries of adaptive production automation. Furthermore, a framework is developed, which integrates smoothly with industrial robotic platforms showcases practical automation solutions and highlights the adaptability and applicability of digital twin technology in real-world situations. This thesis contributes to the field of product development by providing innovative solutions that are rooted in multidisciplinary research. It bridges the theoretical and practical aspects of automation with solutions that overcomes the obstacles to realize seamless integration between digital and physical realities in a manufacturing context.
Adaptive automation evaluated
Author: T.E. de GreefTeam-centered Perspective for Adaptive Automation Design
Author: Lawrence J. PrinzelPublisher:
ISBN:
Category : Computer-aided design
Languages : en
Pages : 20
Book Description
Adaptive Automation
Author: Toshiyuki InagakiAdaptive Automation - Claims and Use Cases
Author: Hendrik Franciskus Robert ArciszewskiPublisher:
ISBN:
Category :
Languages : nl
Pages : 42
Book Description
Influence of adaptive automation based on workload analysis on performance in a control room setting
Author: Adaptive Automation Assembly: Identifying System Requirements for Technical Efficiency and Worker Satisfaction
Author: Sarah R. FletcherComparing Types of Adaptive Automation Within a Multi-tasking Environment
Author: Grant S. TaylorPublisher:
ISBN:
Category :
Languages : en
Pages : 104
Book Description
Throughout the many years of research examining the various effects of automation on operator performance, stress, workload, etc., the focus has traditionally been on the level of automation, and the invocation methods used to alter it. The goal of the current study is to instead examine the utilization of various types of automation with the goal of better meeting the operator's cognitive needs, thus improving their performance, workload, and stress. The task, control of a simulated unmanned robotic system, is designed to specifically stress the operator's visual perception capabilities to a greater degree. Two types of automation are implemented to support the operator's performance of the task: an auditory beep aid intended to support visual perception resources, and a driving aid automating control of the vehicle's navigation, offloading physical action execution resources. Therefore, a comparison can be made between types of automation intended to specifically support the mental dimension that is under the greatest demand (the auditory beep) against those that do not (the driving automation). An additional evaluation is made to determine the benefit of adaptively adjusting the level of each type of automation based on the current level of task demand, as well as the influence of individual differences in personality. Results indicate that the use of the auditory beep aid does improve performance, but also increases Temporal Demand and Effort. Use of driving automation appears to disengage the operator from the task, eliciting a vigilance response. Adaptively altering the level of automation to meet task demands has a mixed effect on performance and workload (reducing both) when the auditory beep automation is used. However, adaptive driving automation is clearly detrimental, causing an increase in workload while decreasing performance. Higher levels of Neuroticism are related to poorer threat detection performance, but personality differences show no indication of moderating the effects of either of the experimental manipulations. The results of this study show that the type of automation implemented within an environment has a considerable impact on the operator, in terms of performance as well as cognitive/emotional state.
Documentation
Author: Defense Documentation Center (U.S.)Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 608
Book Description