Name
Abstract | ||
|---|---|---|
This paper presents an optimization algorithm that has been able to save up to 45% of the energy consumption of an industrial multi-robot system. The tool Sequence Planner now includes these algorithms, focusing on minimizing energy consumption. The goal has been to reduce the energy consumption of individual robots and robots interacting in a work station, without changing the original paths or the total cycle time. The presented algorithms are based on an efficient and rapid nonlinear model for optimizing the sequences of operations and the motion trajectories. Smart simplification of the optimization problem together with innovative tools for logging data and executing the optimized trajectories on real robots has resulted in 18% to 45% saving of the energy consumption in the presented test scenarios. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | Trajectory optimization,Nonlinear programming,Robot kinematics,Control engineering,Scenario testing,Engineering,Robot,Energy consumption,Optimization problem,Energy minimization |
DocType | ISSN | Citations |
Conference | 2161-8070 | 7 |
PageRank | References | Authors |
0.58 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarmad Riazi | 1 | 25 | 6.54 |
| Kristofer Bengtsson | 2 | 99 | 13.15 |
| Oskar Wigström | 3 | 22 | 4.44 |
| Emma Vidarsson | 4 | 7 | 0.58 |
| Bengt Lennartson | 5 | 934 | 118.87 |