Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Home Teachers Gijs van der Hoorn

Ir. G.A. van der Hoorn

Gijs van der Hoorn is a researcher in the Robot Dynamics group of the Cognitive Robotics Department of the Mechanical Engineering faculty in Delft. He is also the Technical Lead Europe for the ROS-Industrial Consortium (RIC-EU) and member of the coordination team of the H2020 EU project ROSIN: ROS-Industrial Quality-Assured Robot Software Components. Furthermore, he sits on the board of the Smart Advanced Manufacturing XL research centre for composite manufacturing automation (SAM|XL) in Delft. He graduated with his Master’s degree from Delft University of Technology.

As a member of the ROS and ROS-Industrial communities he continuously works to further the adoption of open-source software in automation. Besides his technical duties as a maintainer of various software components he supports users by answering questions and solving problems.

Research Interest

  • Software engineering in experimental robotics and research contexts
  • Component based software systems in robotics
  • Industrial robotics
  • Factory automation
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