Teaching by Example in Food Assembly by Robot

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dc.contributor.author Williams, Tomos
dc.contributor.author Rowland, Jeremy John
dc.contributor.author Lee, Mark Howard
dc.contributor.author Neal, Mark James
dc.date.accessioned 2006-04-06T15:29:23Z
dc.date.available 2006-04-06T15:29:23Z
dc.date.issued 2000-04
dc.identifier.citation Williams , T , Rowland , J J , Lee , M H & Neal , M J 2000 , ' Teaching by Example in Food Assembly by Robot ' . in Proceedings of the IEEE International Conference on Robotics and Automation 2000 . vol. 4 , IEEE , pp. 3247-52 , IEEE International Conference on Robotics and Automation (IEEE ICRA 2000) , San Francisco , United States , 24-28 April . en
dc.identifier.citation conference en
dc.identifier.isbn 0-7803-5886-4
dc.identifier.other PURE: 1258571
dc.identifier.other dspace: 2160/119
dc.identifier.uri http://hdl.handle.net/2160/119
dc.description T. G. Williams, J.J. Rowland, Lee M.H. and M.J. Neal Teaching by Example in Food Assembly by Robot, Proc. 2000 IEEE Int. Conf. On Robotics and Automation, San Francisco, April 2000, pp3247-52. en
dc.description.abstract Sectors of the food processing industry have challenging requirements for automation: short batches, product innovation, variation in component shape, all with high production volume. Hard-programmed automation cannot provide the flexibility required. We report our initial work on an approach in which robot operations are derived from the sensed difference between a part-assembled product and a pre-sensed example of the result required. We describe a workcell with laser sensor and present results for experiments on simple assemblies of real sandwich and pizza components. The technique offers flexibility without reprogramming en
dc.format.extent 6 en
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof Proceedings of the IEEE International Conference on Robotics and Automation 2000 en
dc.title Teaching by Example in Food Assembly by Robot en
dc.type Text en
dc.type.publicationtype Conference proceeding en
dc.identifier.doi http://dx.doi.org/10.1109/ROBOT.2000.845163
dc.contributor.institution Intelligent Robotics Group en
dc.contributor.institution Department of Computer Science en


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