Scheduling Algorithms for Optimal Robot Cell Coordination - a Comparison
Paper in proceedings, 2006

Flexibility is the keyword in the modern industrial world. Automatic generation of collision- and blocking free, time optimal schedules for industrial robot cells is thus motivated. While a lot of attention has been paid to the control of industrial systems, as well as to the development of general optimization algorithms, there is still a need to properly combine these two research areas. This paper discusses two scheduling algorithms, designed for industrial robot cells, in terms of performance. A novel heuristic to an A*-based algorithm, operating on Discrete Event Systems, is proposed and benchmarked against the well-known MILP algorithm.

Discrete Event Systems






Avenir Kobetski

Chalmers, Signals and Systems, Systems and control, Automation

Domenico Spensieri

Martin Fabian

Chalmers, Signals and Systems, Systems and control, Automation

Proc. of IEEE Conference on Automation Science and Engineering

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Computational Mathematics

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