Increased Autonomy in Industrial Robotic Systems: A Framework
This paper presents an event based control system structure for the control of a robot workcell and its implementation. The goal for this control system is to autonomously manage the dynamic environment of a robot workcell. The presented control system is event driven and operates from tasks and a W...
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| Veröffentlicht in: | Journal of intelligent & robotic systems Jg. 19; H. 4; S. 357 - 373 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Dordrecht
Kluwer
01.08.1997
Springer Nature B.V |
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| ISSN: | 0921-0296, 1573-0409 |
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| Abstract | This paper presents an event based control system structure for the control of a robot workcell and its implementation. The goal for this control system is to autonomously manage the dynamic environment of a robot workcell. The presented control system is event driven and operates from tasks and a World model, defined in a task oriented programming session. During realisation of the tasks, the World model is continuously updated by information from sensors. The system always operates on the latest information which may result in re-planning of sub-tasks or whole tasks. The autonomous functionality of the presented system is established through reactive re-planning and configurable corrections. A high level adaptation of the model in the control system to the workcell is of great value for the performance of the robot system. An important and efficient use of robot motion control for application process controlling purposes are enabled through the control systems internal configurable interaction with the environment. |
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| AbstractList | This paper presents an event based control system structure for the control of a robot workcell and its implementation. The goal for this control system is to autonomously manage the dynamic environment of a robot workcell. The presented control system is event driven and operates from tasks and a World model, defined in a task oriented programming session. During realisation of the tasks, the World model is continuously updated by information from sensors. The system always operates on the latest information which may result in re-planning of sub-tasks or whole tasks. The autonomous functionality of the presented system is established through reactive re-planning and configurable corrections. A high level adaptation of the model in the control system to the workcell is of great value for the performance of the robot system. An important and efficient use of robot motion control for application process controlling purposes are enabled through the control systems internal configurable interaction with the environment. |
| Author | Olsson, Magnus Bolmsjö, Gunnar Brink, Krister |
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| Cites_doi | 10.1016/B978-1-55860-237-3.50005-4 10.1142/9789814360135 10.1016/0167-8493(87)90008-8 |
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| Copyright | 1997 INIST-CNRS Copyright Springer Nature B.V. Aug 1997 |
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| Keywords | Industrial robot Control system Programming Autonomy Planning Arc welding Real time Implementation |
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| References | K. Nilsson (138349_CR13) 1992 L.-O. Larsson (138349_CR10) 1995 B. Ågren (138349_CR1) 1995 138349_CR17 138349_CR15 138349_CR16 138349_CR7 G. Nikoleris (138349_CR12) 1988 138349_CR6 138349_CR14 138349_CR5 138349_CR11 138349_CR4 138349_CR9 138349_CR3 138349_CR2 G. Grunwald (138349_CR8) 1995; 21 |
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| SubjectTerms | Applied sciences Autonomy Computer science; control theory; systems Configurable Control systems Control theory. Systems Dynamical systems Dynamics Exact sciences and technology Industrial robots Laboratory procedures Metrology, measurements and laboratory procedures Motion control Physics Robot control Robot dynamics Robot learning Robotics Robots Studies Tasks Workshop procedures (welding, machining, lubrication, bearings, etc.) |
| Title | Increased Autonomy in Industrial Robotic Systems: A Framework |
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