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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Bih, L. |
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| Casati, R. |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Ali, M. A. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sanders, David
University of Portsmouth
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Human machine interaction using zero force sensing switches incorporating self-adaptationcitations
- 2021One shot learning approach to identify driverscitations
- 2019A method to produce minimal real time geometric representations of moving obstaclescitations
- 2018Improving the picking-and-placing of a ball using simple rules derived from reduced models of arm links and joints
- 2018Using confidence factors to share control between a mobile robot tele-operater and ultrasonic sensorscitations
- 2015Fast transformations to provide simple geometric models of moving objectscitations
- 2015Post processing method that acts on two-dimensional clusters of user data to produce dead bands and improve classification
- 2013Simple gesture recognition to assist in controlling a powered wheelchair
- 2009Bottom line-driven integration
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article
Improving the picking-and-placing of a ball using simple rules derived from reduced models of arm links and joints
Abstract
This paper presents simple rules to improve the efficiency of picking-and-placing a ball. A simple model of an upper limb was created to examine the gross motions associated with picking-and-placing a ball in sports such as rugby and American football. The research used the Lagrange formulation for a simple representation of the major links and joints of the upper limb. From the simple models, two simple rules were extracted to improve the efficiency of picking-and-placing the ball. Results from testing the use of the rules with both a simple mechanical arm and with human players are presented. Analysis and testing suggested that applying the rules could increase the speed of the pick-and-place movement by up to 17.5%.