Master Thesis - Optimize bucket loading for wheel loaders
Volvo Business Services AB / Driftmaskinistjobb / Växjö
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Description
The purpose of the thesis work is to find the optimal solution for bucket loading using reinforcement learning (RL) while loading/unloading a wheel loader (WL).
Reinforcement learning has become a tool for understanding the optimal solution of complex problems. It started from the game theory and is today widely used in the industry to understand the optimal solution based on so called cost functions. An environment has already been created using Python and it is based on the reward policy. In the next step, which calls for this thesis work, a study needs to be carried out by improving the reward policy so that the existing model behaves closer to reality and an optimal solution can be found. The thesis will be performed using the Python language. Further, one can also get familiar with the bucket loading of the WL when handling different materials.
Suitable Background: Mechanical Engineering or similar, applied mathematics, experience in Python.
Thesis Level: Master
Language: Documentation in English
Starting Date: Spring 2024
Number of Students: 1-2
For further information, please contact:
Manoranjan Kumar,
manoranjan.kumar@volvo.comJonas Johnsson,
jonas.johnsson@volvo.comWelcome with your application!
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Så ansöker du Sista dag att ansöka är 2023-11-30
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Volvo Business Services AB (org.nr 556029-5197)
363 41 BRAÅS
Arbetsplats Volvo Construction Equipment
Jobbnummer 8218634
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