The industry wants provably correct and fast formal methods for handling combinatorial dynamical systems. One example of such problems is error recovery in industrial processes. We have used a provably correct, polynomial-time planning algorithm to plan for a miniature assembly line, which assembles toy cars. Although somewhat limited, this process has many similarities with real industrial processes. By exploring the structure of this assembly line we have extended a previously presented algorithm, thus extending the class of problems that can be handled in polynomial time. The planning tool presented here contains general-purpose algorithms that generate plans in the form of GRAFCET charts that are automatically translated into PLC code u...
The presented work deals with the synthesis of control laws in uncertain context ofthe automated pro...
I present a novel design methodology for the synthesis of automatic controllers, together with a c...
Introduction This work presents an approach for the application of artificial intelligence planning...
The industry wants provably correct and fast formal methods for handling combinatorial dynamical sys...
The industry wants provably correct and fast formal methods for handling combinatorial dynamical sys...
The industry wants formal methods for dealing with combinatorial dynamical systems that are provably...
The industry asks for formal, efficient methods for tackling dynamic systems of combinatorial nature...
This paper presents a provably correct and efficient, polynomial time, planning tool and its applica...
Of all control related problems within industry, those of sequential character are particularly comm...
When producing complex and highly customisable products in low volumes (or in ‘batch sizes of one’),...
This thesis presents engineered algorithms for a class of scheduling and process control problems. T...
This work presents an approach for the application of artificial intelligence planning techniques to...
Formal synthesis and verification of control programs in manufacturing applications are currently un...
The assembly sector is one of the least automated in the manufacturing industry. Automation is essen...
Basically we have three automatic systems that collaborate to build the final product which is a pla...
The presented work deals with the synthesis of control laws in uncertain context ofthe automated pro...
I present a novel design methodology for the synthesis of automatic controllers, together with a c...
Introduction This work presents an approach for the application of artificial intelligence planning...
The industry wants provably correct and fast formal methods for handling combinatorial dynamical sys...
The industry wants provably correct and fast formal methods for handling combinatorial dynamical sys...
The industry wants formal methods for dealing with combinatorial dynamical systems that are provably...
The industry asks for formal, efficient methods for tackling dynamic systems of combinatorial nature...
This paper presents a provably correct and efficient, polynomial time, planning tool and its applica...
Of all control related problems within industry, those of sequential character are particularly comm...
When producing complex and highly customisable products in low volumes (or in ‘batch sizes of one’),...
This thesis presents engineered algorithms for a class of scheduling and process control problems. T...
This work presents an approach for the application of artificial intelligence planning techniques to...
Formal synthesis and verification of control programs in manufacturing applications are currently un...
The assembly sector is one of the least automated in the manufacturing industry. Automation is essen...
Basically we have three automatic systems that collaborate to build the final product which is a pla...
The presented work deals with the synthesis of control laws in uncertain context ofthe automated pro...
I present a novel design methodology for the synthesis of automatic controllers, together with a c...
Introduction This work presents an approach for the application of artificial intelligence planning...