Human-Computer Collaboration in Adaptive Supervisory Control and Function Allocation of Autonomous System Teams

Author(s):  
Robert S. Gutzwiller ◽  
Douglas S. Lange ◽  
John Reeder ◽  
Rob L. Morris ◽  
Olinda Rodas
2014 ◽  
Vol 644-650 ◽  
pp. 3012-3015 ◽  
Author(s):  
Wen Jing Yang ◽  
Yong Jian Luo ◽  
Hai Yan Zhao ◽  
Xiao Ting Li

Based on the principle and characteristics of cloud computing, we put forward the detailed introduction of the constitution and function of cloud information resource flow architecture. Therefore, the problems of network source information management, supervisory control, exploitation and utilization can be solved.


Author(s):  
Linnea Etzler ◽  
Stefano Marzani ◽  
Roberto Montanari ◽  
Francesco Tesauri

FEATURE AT A GLANCE: The complexity of on-board equipment for farm tractors has grown dramatically in recent years, leading to significant changes in the operator's work situation. Today, most tractor functions are performed from inside the cabin, but little progress has been made toward reducing the risks associated with higher workloads. This article describes a methodology for designing a risk mitigation system for reducing rollover accidents. The methodology represents a combination of hierarchical task analysis and function allocation. Its implementation led to a final solution composed of visual and auditory displays and a joystick that gives force feedback in risky situations


2019 ◽  
pp. 167-187
Author(s):  
Jens Alfredson ◽  
Ulrika Ohlander

This chapter highlights important aspects of an intelligent fighter pilot support for distributed unmanned and manned decision making. First the background is described including current trends within the domain, and characteristics of a decision support system are discussed. After that a scenario and example situations are presented. The chapter also includes reflections of an intelligent fighter pilot support for distributed unmanned and manned decision making from the joint cognitive systems view, regarding human interoperability, and function allocation.


2000 ◽  
Vol 44 (12) ◽  
pp. 2-487-2-490
Author(s):  
X. Jiang ◽  
J. Bingham ◽  
R. Master ◽  
A. K. Gramopadhye ◽  
B. J. Melloy

Product inspection is an important step in ensuring product quality with one of its most important tasks being visual inspection. If an inspection is to be successful, it is critical that the various functions constituting an inspection task be performed optimally. An inspection task typically consists of the following functions: orientation, search, decision-making, and recording. Orientation and recording, essentially manual activities, are best automated. The search and decision-making functions, however, are essentially cognitive activities and have been shown to be the most important determinants of inspection performance that system designers need guidance in allocating. With the customer demand for zero defects in products, 100% inspection using automated systems has seen more frequent application than traditional sampling inspection using human inspectors. Despite the advantages of automation, these inspection systems often fail to meet expectations primarily because they ignore humans' ability in pattern recognition, as rational decision-makers and their flexibility to adapt to new situations. Thus, designers of systems which include an inspection component need guidance on human/machine function allocation to ensure that the inspection is performed at the very least adequately and, preferably, effectively and efficiently. In response to this need, this paper describes a system that will facilitate the conducting of controlled studies to address issues related to human machine system design and function allocation in visual inspection. The system simulates the search and decision making functions of a Printed Circuit Board (PCB) inspection task. The system can operate in three separate modes: (1) human inspection mode – where all the functions are performed by the human, (2) automated inspection mode - where all the functions are performed by the computer and the role of the human is that of a supervisor, and (3) hybrid inspection mode – where inspection functions can be allocated to the human, the machine or both.


2017 ◽  
Vol 26 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Gérald Garcia ◽  
Xavier Roser

This article presents the activities of Thales Alenia Space France in the scope of the continuous improvement of its concurrent engineering practices. It describes an on-going work and proposed solutions to extend the scope of this environment in 0/A/B1 phases with new capabilities to support system engineers work: • Capability to define the operational concept and main operational scenarios; • Capability to perform functional analysis and function allocation trade-off, enabling the distribution of functions between system segments and sub-systems; capability to produce easily accessible synthesis and dashboard to team and other stakeholders, enabling easy sharing of information and models; • Capability to capitalise on equipment data and equipment models. This article will cover both the process aspects and tooling support. It proposes in a first part to justify and describe the proposed evolutions starting from current practices. Then, a second chapter describes the proposed enhancements and finally the last chapter presents the proposed tooling implementation.


Author(s):  
Chuanguo Chi ◽  
Guo-Ping Liu ◽  
Wenshan Hu

This paper investigates the design and implementation of a mobile terminal cloud supervisory control (MTCSC) platform based on networked control systems (NCSs). The platform relying on mobile programming and C/S architecture provides real-time data transmission and supervisory for the cloud control system (CCS). Users can deploy the platform in smart phones, tablet computers and other mobile devices, which solves the problem of the dependence on PC for networked supervisory system. Both asynchronous data receiving and synchronous real-time monitoring of different cloud nodes are supported on mobile terminal. Additionally, through data cloud transmission, users can realize remote cloud monitoring. Moreover, to overcome the data delay during users’ monitoring and to improve the reliability of the system, a multi-threaded communication and real-time communication scheme are proposed. The virtual instruments and function modules of the system can be customized by users, which not only increase the flexibility of operation but also enhance the customization and expansion of functions. Finally, the feasibility of the MTCSC platform is verified by online simulation and experiment.


Author(s):  
Jens Alfredson ◽  
Ulrika Ohlander

This chapter highlights important aspects of an intelligent fighter pilot support for distributed unmanned and manned decision making. First the background is described including current trends within the domain, and characteristics of a decision support system are discussed. After that a scenario and example situations are presented. The chapter also includes reflections of an intelligent fighter pilot support for distributed unmanned and manned decision making from the joint cognitive systems view, regarding human interoperability, and function allocation.


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