Teaching by Example in Food Assembly by Robot

Tomos Williams; Jeremy John Rowland; Mark Howard Lee; Mark James Neal

doi:10.1109/ROBOT.2000.845163

Teaching by Example in Food Assembly by Robot

Tomos Williams, Jeremy John Rowland, Mark Howard Lee, Mark James Neal

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Robotics and Automation 2000
Publisher	IEEE Press
Pages	3247-52
Number of pages	6
Volume	4
ISBN (Print)	0-7803-5886-4
DOIs	https://doi.org/10.1109/ROBOT.2000.845163
Publication status	Published - Apr 2000
Event	IEEE International Conference on Robotics and Automation (IEEE ICRA 2000) - San Francisco, United States of America Duration: 24 Apr 2000 → 28 Apr 2000

Conference

Conference	IEEE International Conference on Robotics and Automation (IEEE ICRA 2000)
Country/Territory	United States of America
City	San Francisco
Period	24 Apr 2000 → 28 Apr 2000

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ROBOT.2000.845163

http://hdl.handle.net/2160/119

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@inproceedings{cd2cd6d2bd4b4b66ac43db0cbe1c0264,

title = "Teaching by Example in Food Assembly by Robot",

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",

author = "Tomos Williams and Rowland, {Jeremy John} and Lee, {Mark Howard} and Neal, {Mark James}",

note = "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.; IEEE International Conference on Robotics and Automation (IEEE ICRA 2000) ; Conference date: 24-04-2000 Through 28-04-2000",

year = "2000",

month = apr,

doi = "10.1109/ROBOT.2000.845163",

language = "English",

isbn = "0-7803-5886-4",

volume = "4",

pages = "3247--52",

booktitle = "Proceedings of the IEEE International Conference on Robotics and Automation 2000",

publisher = "IEEE Press",

address = "United States of America",

}

Williams, T, Rowland, JJ , Lee, MH & Neal, MJ 2000, Teaching by Example in Food Assembly by Robot. in Proceedings of the IEEE International Conference on Robotics and Automation 2000. vol. 4, IEEE Press, pp. 3247-52, IEEE International Conference on Robotics and Automation (IEEE ICRA 2000), San Francisco, United States of America, 24 Apr 2000. https://doi.org/10.1109/ROBOT.2000.845163

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T1 - Teaching by Example in Food Assembly by Robot

AU - Williams, Tomos

AU - Rowland, Jeremy John

AU - Lee, Mark Howard

AU - Neal, Mark James

N1 - 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.

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N2 - 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

AB - 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

U2 - 10.1109/ROBOT.2000.845163

DO - 10.1109/ROBOT.2000.845163

M3 - Conference Proceeding (Non-Journal item)

SN - 0-7803-5886-4

VL - 4

SP - 3247

EP - 3252

BT - Proceedings of the IEEE International Conference on Robotics and Automation 2000

PB - IEEE Press

T2 - IEEE International Conference on Robotics and Automation (IEEE ICRA 2000)

Y2 - 24 April 2000 through 28 April 2000

ER -

Teaching by Example in Food Assembly by Robot

Abstract

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