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Computational design of automated factories
Industrial robots are revolutionizing traditional logistics and manufacturing machinery, thanks to their flexibility in spatial movements and capabilities for multi-tasking. This shows promises for a new generation of smart factories that can swiftly adapt their layouts and functions to new industrial demands. However, most automated factories today are planned manually, leading to substantial downtime and inflexibility.
This project explores the potential of automated robot layout and coordination in a factory environment. We will develop an algorithmic framework that, given a high-level automation goal and hardware budget, generates the factory layout and collaborative plan of the deployed robots.
The student will explore computational design and multi-agent planning strategies for an automated handling pipeline to deliver boxes. Given a high-level delivery goal and a machine hardware budget, which includes industrial robot arms of different types and conveyor belts, we consider a planning problem that includes the following four aspects:
- which robots should be used
- what is their layout on the factory floor
- what are the scheduling and coordinated motion plans of these robots
- how does the layout and delivery plan balance hardware costs and delivery efficiency
The student is expected to be able to propose and quickly prototype different solutions.
The student will explore computational design and multi-agent planning strategies for an automated handling pipeline to deliver boxes. Given a high-level delivery goal and a machine hardware budget, which includes industrial robot arms of different types and conveyor belts, we consider a planning problem that includes the following four aspects:
- which robots should be used - what is their layout on the factory floor - what are the scheduling and coordinated motion plans of these robots - how does the layout and delivery plan balance hardware costs and delivery efficiency
The student is expected to be able to propose and quickly prototype different solutions.
Propose and implement computational design and multi-agent planning strategies for an automated handling pipeline to deliver boxes.
Propose and implement computational design and multi-agent planning strategies for an automated handling pipeline to deliver boxes.
For further information or application for the thesis project, please contact Yijiang Huang (yijiang.huang@inf.ethz.ch) and Simon Huber (simon.huber@inf.ethz.ch) with your CV and transcript.
For further information or application for the thesis project, please contact Yijiang Huang (yijiang.huang@inf.ethz.ch) and Simon Huber (simon.huber@inf.ethz.ch) with your CV and transcript.
26-07-23_Theses_Proposals_smart_factory.pdf
