On a shared human-robot task scheduling and online re-scheduling
Nikolaos Nikolakis, Kostantinos Sipsas, Panagiota Tsarouchi, Sotirios Makris
- 发表年份
- 2018
- 引用次数
- 22
摘要
Human-Robot (HR) teams are expected to work more efficiently and interdependently compared to the manual non-added value manufacturing processes. This paper discusses a method for enabling the shared HR task scheduling and dynamic re-scheduling. Humans, robots, and HR teams are involved in the resources model, while the task sequence and the task precedence constraints consist of the workload model. An intelligent multi-criteria decision-making framework is proposed for evaluating alternative solutions for the shared HR task scheduling. Dynamic re-scheduling is possible in the cases of unexpected events during the execution of the task. The dynamic rescheduling is triggered by IEC61499 events generated in running time. The method has been implemented as a software tool in Java and has been demonstrated in the hybrid assembly of a vehicle turbocharger.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002