Available Theses
End-to-End Setup of AI-Enabled Industrial Workflows
This thesis investigates how AI-enabled industrial workflows with integrated visual verification can be configured end-to-end by non-expert users. Using a digital workflow platform, the work explores how process definition, dataset creation, and model configuration impact verification reliability. Through experimental evaluation across real-world use cases—including industrial maintenance tasks such as Hilti DX76 tool cleaning—the thesis derives practical guidelines for building robust, user-friendly AI-assisted workflows.
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Digital workflows, computer vision, industrial AI, visual verification, human-AI interaction, workflow automation, maintenance processes, dataset design
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2026-03-26 , Earliest start: 2026-03-26 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Hogenkamp Maarten
Topics Engineering and Technology
Portable Microscope Product Development
Join Eureka to reinvent microscopes as consumer electronics products. We are seeking a motivated student to design a high-precision, low-cost sample stage and focusing mechanism for a portable digital microscope that brings professional-grade imaging to the consumer market. Your design will potentially be used by: citizen scientists who monitor the algae diversity of Swiss Lakes, nature discovery lovers who are ready for the micro-level wonders, and parents/teachers who want to give more fun to the young. Our website: https://www.eurekamicroscope.com/
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Mechatronics, Microscopy, Consumer Electronics, Hardware, mechanical design, 3d-printing
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Semester Project
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Published since: 2026-03-10 , Earliest start: 2026-03-25 , Latest end: 2026-09-30
Organization pd|z Product Development Group Zurich
Hosts Zhang Siyi
Topics Engineering and Technology
Imitation Learning for Dual-Arm Robotic Unloading with Two KUKA iiwa Manipulators
This project aims to investigate imitation learning methods for dual-arm robotic unloading tasks using two KUKA iiwa manipulators. Dual-arm systems offer human-level dexterity for handling large or cluttered boxes, but learning coordinated bimanual behaviors remains a challenging research problem due to tight spatial coupling, contact-rich interactions, and task variability. The overall objective is to leverage recent advances in imitation learning to acquire robust and generalizable unloading strategies from human demonstrations
Keywords
robotics, control, machine learning, imitation learning, industrial application
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Master Thesis
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Published since: 2026-02-06 , Earliest start: 2026-02-16 , Latest end: 2026-08-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology