Job details

Research engineer navigation of autonomous mobile robots

You take on navigation challenges for autonomous mobile robots in a variety of industrial settings. You broaden the possibilities for the future applications.

Flanders Make researchers are creating demonstrators with next generation navigation algorithms that are adaptable and self-learning. An increasing number of autonomous functionalities could be added to industrial autonomous robots. While the industry hesitates, Flanders Make proves that these technologies are easy to deploy in complex settings and more robust when needed, eg. in busy or noisy industrial contexts.

Object identification, localisation, path planning & obstacle avoidance

As an expert or young potential in navigation algorithms for autonomous mobile robots, drones and vehicles:

  • you work together in a team which combines expertise in sensing, computer vision, odometry, signal processing, adaptive & learning control, embedded software, robotics, machine learning and artificial intelligence;
  • with the team you solve challenges in sensor fusion & simultaneous localization and mapping (SLAM), static & dynamic world modelling, optimal and real-time path planning, motion planning and motion control, where you focus on indoor localization, world modelling and context adaptive path planning.

For a variety of industrial cases (small indoor pick- and place drones & robots in warehouses, assembly cobots, large outdoor or heavy-weight forklifts) you will:

  • Write 2D/3D navigation algorithms for indoor/outdoor localization, path planning & tracking, object identification and obstacle detection & avoidance;
  • Ensure innovation by improvements to simultaneous localisation and mapping (SLAM), advanced filtering and sensor fusion (Kalman filtering, numeric optimization,… ) and radically enhance the visual perception & localization. You add & improve items using python, Matlab or C++ and work in environments like ROS on the selected sensor set (Vision, LIDAR, UWB, IMU, …);
  • Simulate all the functionalities and validate your result on a mobile robot and drone demonstrator;

Experienced engineers will also trace and present industrial challenges and research opportunities or coach young engineers and lead projects.

Profile

You have

  • Master's degree or PhD in Engineering (Mechatronics, Robotics, Control, Mechanical, Electrical, Electronical ….);
  • Track record in navigation of autonomous vehicles (sensor fusion, obstacle avoidance, path planning,… );
  • Skilled in ROS and Python, Matlab or C++;
  • Practical experience in at least two advanced localization or navigation algorithms (Kalman filtering, SLAM, adaptive path planning, world modelling);
  • A broad knowledge of sensing signals, system architecture, controls of machines, robots, drones and embedded software.

You are

  • Passionate about research and new technologies;
  • Result oriented, responsible, self directing and team player;
  • A good communicator;
  • Eager to learn.

Offer

  • The opportunity to develop yourself within its network of leading industrial companies, universities and research institutes;
  • An open-minded, flexible and challenging working environment;
  • A warm atmosphere, first-class colleagues;
  • An attractive salary with fringe benefits.

Kurt Geebelen, senior research engineer @Flanders Make since 2015: “At Flanders Make, I get to work with the latest technologies and apply them directly on industry relevant applications, while having the freedom to explore new ideas.”

Project example video

  • Location: Leuven, Lommel or Kortrijk
E-mail

Interested?

For more information:
Call LIESBET DECUYPER
at the number: +32 16 910 614 (Ma-di-woe-do: 9u-16u)
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