A pointer device for TFT display screens that determines position by detecting colours on the display using a colour sensor and an Artificial Neural Network

Sanders, David; Tewkesbury, Giles

doi:10.1016/j.displa.2009.01.001

Cited by 41 publications

(37 citation statements)

References 26 publications

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“…Work is now investigating mixing other AI tools [31][32][33][34][35][36][37][38][39][40] in order to use specific tools where they can have most effect.…”

Section: Discussionmentioning

confidence: 99%

Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot

Sanders

Sanders²,

Gegov

et al. 2017

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

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Simple real time AI techniques are presented that support tele-operated mobile robot operators when they are steering. They permit a tele-operator to be included in the steering as much as possible, while offering help when required to avoid obstacles and to reach their target destination. The direction to a destination (via point) becomes an extra input along with the usual inputs from a joystick and an obstacle avoidance sensor system. A recommended direction is suggested and that is mixed with joystick position and angle. A rule-based system provides a suggested angle to turn the robot and that is mixed with input from a joystick to help a tele-operator to steer their mobile robot towards a destination.

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“…Work is now investigating mixing other AI tools [31][32][33][34][35][36][37][38][39][40] in order to use specific tools where they can have most effect.…”

Section: Discussionmentioning

confidence: 99%

Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot

Sanders

Sanders²,

Gegov

et al. 2017

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

View full text Add to dashboard Cite

show abstract

“…These lines were then overlaid onto the filtered greyscale image for viewing. Later systems used Fourier descriptors [1,2] and artificial neural networks (ANNs) [6][7][8], and in the most recent systems described herein new corner-finding algorithms to effectively reduce noise were also introduced.…”

Section: Proposed Systemmentioning

confidence: 99%

Improving automatic robotic welding in shipbuilding through the introduction of a corner-finding algorithm to help recognise shipbuilding parts

et al. 2011

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A system that uses a combination of techniques to suggest weld requirements for ships' parts is proposed. These suggestions are evaluated, decisions are made and then weld parameters are sent to a program generator. New image capture methods are being combined with a decision-making system that uses multiple parallel artificial intelligence (AI) techniques. A pattern recognition system recognises shipbuilding parts using shape contour information. Fourier descriptors provide information and neural networks make decisions about shapes. The system has distinguished between various parts, and programs have been generated to validate the approaches used. The system has recently been improved by pre-processing using a simple and accurate corner finder in an edge-detected image.

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“…AmI can be described as an environment of large number of components which are independent and distributed interacting to each other and have characteristics of flexibility, autonomous, responsiveness, pro-activeness and so on which are the same as that of agents. The AmI considers numerous different aspects and technologies in manufacturing domain (Sanders and Tewkesbury 2009). Robinson et al (2015) described the intelligent systems using AmI for monitoring energy consumption and knowledge management technologies in manufacturing system.…”

Section: Ambient Intelligencementioning

confidence: 99%

Analysis of critical drivers affecting implementation of agent technology in a manufacturing system

et al. 2018

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Technological advancement in the manufacturing system in current scenario is inevitable due to today's customer-driven and volatile nature of the market. Implementation of agent technology in a manufacturing system increases flexibility which handles uncertainty generated due to advance technology. Therefore, in this paper, the critical drivers affecting implementation of agent technology are identified and the relationships among them are analysed for a case study of a manufacturing system in an Indian steering wheel manufacturing company. Interpretive structural modelling (ISM) is used to provide binary relationships among identified critical drivers (CDs), while MICMAC approach describes sensitive analysis of driving and dependence behaviour of CDs. The classification of the drivers affecting agent technology and their relationships according to ISM-MICMAC approach provides importance to this study. A structural model is developed for providing rank to the identified critical drivers, and driving-dependent power diagram is presented for analysing the behaviour of different critical drivers with respect to others. The identification of the most influential CDs that lead to increase the effect of other drivers is the major finding of this study. Finally, the implication of this research for the industries is also described.

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A pointer device for TFT display screens that determines position by detecting colours on the display using a colour sensor and an Artificial Neural Network

Cited by 41 publications

References 26 publications

Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot

Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot

Improving automatic robotic welding in shipbuilding through the introduction of a corner-finding algorithm to help recognise shipbuilding parts

Analysis of critical drivers affecting implementation of agent technology in a manufacturing system

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