Teaching by Example in Food Assembly by Robot

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

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

4 Citations (SciVal)

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 languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Robotics and Automation 2000
PublisherIEEE Press
Pages3247-3252
Number of pages6
Volume4
ISBN (Print)0-7803-5886-4
DOIs
Publication statusPublished - Apr 2000
EventIEEE International Conference on Robotics and Automation (IEEE ICRA 2000) - San Francisco, United States of America
Duration: 24 Apr 200028 Apr 2000

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

ConferenceIEEE International Conference on Robotics and Automation (IEEE ICRA 2000)
Country/TerritoryUnited States of America
CitySan Francisco
Period24 Apr 200028 Apr 2000

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