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ROB – Robotics Lab

In this lab, students design, build, program, and deploy both stationary and mobile robots. Through project-based learning and interdisciplinary collaboration, they develop essential 21st-century skills to tackle industry and societal challenges using robotics.

Lab Persona

Each IT:U lab has a unique persona. Rob believes that as society shifts toward cognitive work, robotics will empower humans by taking on more everyday tasks. He is fascinated by how robotics can, for example, support people with disabilities, take on physically demanding or dangerous tasks, and drive innovation across various fields.

Hands-On with Robotics

The lab features a variety of robots working in teams, supported by control computers and a workshop for machine maintenance. Students engage with robots ranging from simple rolling bots to complex all-terrain rovers and multi-axis arms, gaining hands-on experience in sensors, actuators, control and power systems, and robot mechanics.

Project-based Learning

Imagine an agronomist and a mechanical engineer collaborating to develop drones and robots that measure soil composition across agricultural fields, enabling targeted weed control. Graduates are trained to tackle industry challenges using robotics, unlocking new business models in sectors such as tourism, agriculture, and many more.

Meet the Expert

Matthias is the LearnLab Expert and Lecturer for ROB. His work focuses on developing human-centred robotic solutions for real-world applications. He is particularly interested in creating systems that are intuitive, usable, and genuinely beneficial for people.  

Previously, he has worked on research projects in service robotics, including robots for household support and the deployment of robotic technologies in care homes. His research aims to enable humans to teach robots new skills without requiring prior technical expertise, making robotic systems more adaptable and accessible.  

In his lab, students learn to work with different robotic platforms using transferable open-source frameworks. A strong focus is placed on perception-driven robotics, enabling systems to interpret and respond to their environment through multimodal sensing, including vision-based approaches.

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