Abstract
A minimum-time assembly sequence planning algorithm for a multi-robot cell is presented. The algorithm uses compact diagrammatic representation of the problem to account for constraints of collision avoidance between the robots. An arrangement for a near optimum assembly sequence is developed based on dynamic programming. This is then taken as an initial state seeking iteratively for a time-minimum sequence.. The algorithm is derived for a two robot cell, and then extended for application to three and more robot workcells.
| Original language | British English |
|---|---|
| Title of host publication | IEEE International Workshop on Emerging Technologies and Factory Automation |
| Subtitle of host publication | Technology for the Intelligent Factory - Proceedings, ETFA 1992 |
| Editors | R. Zurawski, T.S. Dillon |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 305-310 |
| Number of pages | 6 |
| ISBN (Electronic) | 0780308867 |
| DOIs | |
| State | Published - 1992 |
| Event | 1992 IEEE International Workshop on Emerging Technologies and Factory Automation, ETFA 1992 - Melbourne, Australia Duration: 11 Aug 1992 → 14 Aug 1992 |
Publication series
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Volume | 1992-August |
| ISSN (Print) | 1946-0740 |
| ISSN (Electronic) | 1946-0759 |
Conference
| Conference | 1992 IEEE International Workshop on Emerging Technologies and Factory Automation, ETFA 1992 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne |
| Period | 11/08/92 → 14/08/92 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'Minimum-time assembly sequence planning for a multi-robot system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver