Master’s student Remi Brandt wins KNVI Thesis Prize for Computing Science and Engineering

Master’s student in Computing Science Remi Brandt has won the KNVI Thesis Prize for Computing Science and Engineering for his thesis “Efficient Binocular Stereo Correspondence Matching with 1-D Max-Trees”.

With his work, Brandt was able to make a scientific and technical contribution to the European Union H2020 project Trimbot2020 . This is very remarkable and exceptional for a Master’s student. At the frontier of science and technology, Brandt contributed to the design of the first outdoor gardening robot. Specifically, he developed an efficient computer vision algorithm that enables the robot determine its distance to objects in the environment. His algorithm is now fully integrated in the robot operating system ROS of Trimbot.

For his Master’s thesis, Brandt was supervised by Dr. Nicola Strisciuglio and Dr. Michael Wilkinson. Since July 2019, Brandt has an appointment as a researcher in the Trimbot project, as part of the Intelligent Systems group of the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence .

Trimbot

The TrimBot2020 project researches the underlying robotics and vision technologies and prototypes the next generation of intelligent gardening consumer robots. The project is focused on the development of intelligent outdoor hedge, rose and bush trimming capabilities. And with this, allowing the robot to navigate over varying garden terrain, approaching hedges to restore them to their ideal tidy state, and approaching topiary-styled bushes to restore them to their ideal shape.

Graduation Awards

The KNVI Thesis Prize for Computing Science and Engineering is part of the KHMW Graduation Awards. Please find an overview of all FSE/UG winners (Graduation and Incentive Awards) here.