PeriSim: A Simulator for Optimizing Peristaltic Table Control
Peristaltic conveyance can be used for the sorting and transport of delicate and nonrigid objects such as meat or soft fruit. The non‐linearity and stochastic behavior of peristaltic systems make them difficult to control. Optimizing controllers using machine learning represents a promising path to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-12-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.201900070 |
| _version_ | 1818512843908055040 |
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| author | Ross M. McKenzie Jamie O. Roberts Mohammed E. Sayed Adam A. Stokes |
| author_facet | Ross M. McKenzie Jamie O. Roberts Mohammed E. Sayed Adam A. Stokes |
| author_sort | Ross M. McKenzie |
| collection | DOAJ |
| description | Peristaltic conveyance can be used for the sorting and transport of delicate and nonrigid objects such as meat or soft fruit. The non‐linearity and stochastic behavior of peristaltic systems make them difficult to control. Optimizing controllers using machine learning represents a promising path to effective peristaltic control but currently, there is no suitable simulated model of a peristaltic table in which to run these optimizations. A simple, simulated model of a peristaltic conveyor that can be used for optimizing peristaltic control on a variety of peristaltic tables is presented. This simulator is demonstrated through a limited control problem evaluated on our real‐world system that is built for peristaltic conveyance. This simulator is available as the python package PeriSim so that it can be used by the robotics community for peristaltic control development. |
| first_indexed | 2024-12-10T23:52:43Z |
| format | Article |
| id | doaj.art-00886ca8137746d8b281468c2c012dcb |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-12-10T23:52:43Z |
| publishDate | 2019-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-00886ca8137746d8b281468c2c012dcb2022-12-22T01:28:41ZengWileyAdvanced Intelligent Systems2640-45672019-12-0118n/an/a10.1002/aisy.201900070PeriSim: A Simulator for Optimizing Peristaltic Table ControlRoss M. McKenzie0Jamie O. Roberts1Mohammed E. Sayed2Adam A. Stokes3School of Engineering Institute for Integrated Micro and Nano Systems Scottish Microelectronics Centre The University of Edinburgh Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems Scottish Microelectronics Centre The University of Edinburgh Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems Scottish Microelectronics Centre The University of Edinburgh Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKSchool of Engineering Institute for Integrated Micro and Nano Systems Scottish Microelectronics Centre The University of Edinburgh Alexander Crum Brown Road, King's Buildings Edinburgh EH9 3FF UKPeristaltic conveyance can be used for the sorting and transport of delicate and nonrigid objects such as meat or soft fruit. The non‐linearity and stochastic behavior of peristaltic systems make them difficult to control. Optimizing controllers using machine learning represents a promising path to effective peristaltic control but currently, there is no suitable simulated model of a peristaltic table in which to run these optimizations. A simple, simulated model of a peristaltic conveyor that can be used for optimizing peristaltic control on a variety of peristaltic tables is presented. This simulator is demonstrated through a limited control problem evaluated on our real‐world system that is built for peristaltic conveyance. This simulator is available as the python package PeriSim so that it can be used by the robotics community for peristaltic control development.https://doi.org/10.1002/aisy.201900070object conveyancemodular roboticsperistaltic systemssorting |
| spellingShingle | Ross M. McKenzie Jamie O. Roberts Mohammed E. Sayed Adam A. Stokes PeriSim: A Simulator for Optimizing Peristaltic Table Control Advanced Intelligent Systems object conveyance modular robotics peristaltic systems sorting |
| title | PeriSim: A Simulator for Optimizing Peristaltic Table Control |
| title_full | PeriSim: A Simulator for Optimizing Peristaltic Table Control |
| title_fullStr | PeriSim: A Simulator for Optimizing Peristaltic Table Control |
| title_full_unstemmed | PeriSim: A Simulator for Optimizing Peristaltic Table Control |
| title_short | PeriSim: A Simulator for Optimizing Peristaltic Table Control |
| title_sort | perisim a simulator for optimizing peristaltic table control |
| topic | object conveyance modular robotics peristaltic systems sorting |
| url | https://doi.org/10.1002/aisy.201900070 |
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