Intelligent browser-based systems to assist Internet users J Bergasa-Suso, DA Sanders, GE Tewkesbury IEEE Transactions on Education 48 (4), 580-585, 2005 | 73 | 2005 |
An expert system for automatic designforassembly D Sanders, Y Chai Tan, I Rogers, GE Tewkesbury Assembly Automation 29 (4), 378-388, 2009 | 71 | 2009 |
Selection of discrete multiple criteria decision making methods in the presence of risk and uncertainty M Haddad, D Sanders Operations Research Perspectives 5, 357-370, 2018 | 66 | 2018 |
The use of virtual reality to train powered wheelchair users and test new wheelchair systems I Stott, D Sanders International Journal of Rehabilitation Research 23 (4), 321-326, 2000 | 62 | 2000 |
Recognizing shipbuilding parts using artificial neural networks and Fourier descriptors DA Sanders Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2009 | 59 | 2009 |
Inferring learning style from the way students interact with a computer user interface and the WWW DA Sanders, J Bergasa-Suso IEEE Transactions on Education 53 (4), 613-620, 2010 | 56 | 2010 |
Environmental sensors and networks of sensors D Sanders Sensor Review 28 (4), 2008 | 56 | 2008 |
Comparing ability to complete simple teleoperated rescue or maintenance mobilerobot tasks with and without a sensor system D Sanders Sensor Review 30 (1), 40-50, 2010 | 53 | 2010 |
Progress in machine intelligence D Sanders Industrial Robot: An International Journal 35 (6), 2008 | 53 | 2008 |
Controlling the direction of “walkie” type forklifts and pallet jacks on sloping ground D Sanders Assembly Automation 28 (4), 317-324, 2008 | 53 | 2008 |
Comparing speed to complete progressively more difficult mobile robot paths between human teleoperators and humans with sensorsystems to assist D Sanders Assembly Automation 29 (3), 230-248, 2009 | 52 | 2009 |
Using self-reliance factors to decide how to share control between human powered wheelchair drivers and ultrasonic sensors DA Sanders IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (8 …, 2016 | 51 | 2016 |
AI tools for use in assembly automation and some examples of recent applications D Sanders, A Gegov Assembly Automation 33 (2), 184-194, 2013 | 51 | 2013 |
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 DA Sanders, GE Tewkesbury Displays 30 (2), 84-96, 2009 | 51 | 2009 |
A new prototype intelligent mobility system to assist powered wheelchair users D Sanders, I Stott Industrial Robot: An International Journal 26 (6), 466-475, 1999 | 51 | 1999 |
Selecting a best compromise direction for a powered wheelchair using PROMETHEE MJ Haddad, DA Sanders IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (2 …, 2019 | 50 | 2019 |
Improving wheelchairdriving using a sensor system to control wheelchairveer and variableswitches as an alternative to digitalswitches or joysticks DA Sanders, M Langner, GE Tewkesbury Industrial Robot: An International Journal 37 (2), 157-167, 2010 | 49 | 2010 |
Analysis of the effects of time delays on the teleoperation of a mobile robot in various modes of operation D Sanders Industrial Robot: An International Journal 36 (6), 570-584, 2009 | 46 | 2009 |
A robotic welding system using image processing techniques and a CAD model to provide information to a multiintelligent decision module DA Sanders, G Lambert, J GrahamJones, GE Tewkesbury, S Onuh, ... Assembly Automation 30 (4), 323-332, 2010 | 45 | 2010 |
Improving ability of teleoperators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors DA Sanders, J GrahamJones, A Gegov Industrial Robot: An International Journal 37 (5), 431-440, 2010 | 44 | 2010 |