Available Theses
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
Project 1: Perception and State Estimation for Robotic Carton Folding
This project aims to develop perception and state estimation methods for robotic carton folding and packaging tasks. Reliable state estimation is a key enabler for flexible and generalizable packaging automation, as it allows robots to adapt their actions to different carton types, sizes, and unfolding conditions without relying on rigid, preprogrammed sequences. The overall objective is to discover robust representation methods for later generalization of robot skills by machine learning methods.
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
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
Open-Source Physical AI for Bimanual Contact-Rich Tasks
The aim of this work is to advance fundamental problems in physical AI, including coordinated bimanual control, representation and exploitation of contact interactions, and sim-to-real transfer. The project involves commissioning two OpenArm robotic arms in a leader–follower teleoperation setup, followed by the development and evaluation of learning-based bimanual control strategies. You will collect and generate manipulation data both through teleoperation and in simulated environments, and train coordinated bimanual control policies for contact-rich tasks using NVIDIA Isaac Lab or related frameworks. The project provides substantial freedom, allowing you to explore ideas that align with your personal interests. Foreseen applications include dexterous manipulation in manufacturing, household environments, or assistive robotics. Contributions to the OpenArm project are strongly encouraged.
Keywords
AI, Machine Learning, Robotics
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Internship , Bachelor Thesis , Master Thesis
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Published since: 2025-12-18 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization pd|z Product Development Group Zurich
Hosts Gimeno Lucas
Topics Engineering and Technology