Controlling robots at a distance can be difficult and frustrating. We are changing this by integrating new technologies, smart controls and human factors insights. Topics include VR interactions, communications, haptics, control and machine learning.
What will you be doing?
Not long now and the robots will be everywhere! Thanks to increased technological capabilities, robotics is once again a rapidly evolving field. Although the advances in autonomy are huge, autonomous robots will not be a viable option in all cases for the foreseeable future. Successful robot operation in e.g. unpredictable environments relies on optimal integration of human intelligence, flexibility and creativity vs. robot precision, power and endurance. TNO brings together different fields of expertise to create innovations that work.
Some examples of assignments that are currently open are:
- Robot Dynamics Identification: Given some guesses about the robot dimensions, can you come up with procedures to improve this model on-line? Can we determine where the robot is touched based on joint torques? And when picking up an object, can we guess it’s weight and CoG?
- Shared Autonomy: Sometimes the robot knows better than the operator how to move, or how to grasp something. How can we share control without ‘taking over’ completely?
- Improving control of a 11 DoF robot hand: How to map the control signals from a human hand to a very dexterous robot hand? Can we apply force feedback, even if the force measurements are of low quality?
- Trading degrees of freedom: only rarely do you actually want to be precise in all 6 DoFs of a robot: oftentimes just staying in a plane or keeping an orientation is enough. Can we come up with an intuitive way to specify this extra freedom of the robot, and then make good use of it?
We are always interested in new ideas, so if you have your own vision or want to apply ideas from your university, we could definitely discuss that.
What do we require of you?
During the assignments, there will no doubt be software development, and possibly human research. Affinity with robotics and software is a must. Our existing software modules are written in C++, Python and Java, and mostly integrated with ROS. Familiarity with at least one of these languages is preferred.
What can you expect of your work situation?
This assignment will be part of the i-Botics Joint Innovation Centre, an open innovation centre for research and development in interaction robotics. The research project has been founded by TNO and University of Twente and aims at developing knowledge and technology for value adding robotic solutions in the fields of tele-robotics and exoskeletons. Knowledge is aggregated from various domains, with researchers from Leiden, Den Haag, Soesterberg and Enschede all bringing their expertise to the table. This assignment is provided by the Intelligent Autonomous Systems department, located in Den Haag, but working on any of the other locations can be discussed.
What can TNO offer you?
You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.
For this vacancy it is required that the AIVD issues a security clearance after conducting a security screening. Please visit for more information the AIVD website.
Has this vacancy sparked your interest?
Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.
Note that applications via email and third party applications are not taken into consideration.
Contact: Bouke Krom
Phone number: +31 (0)88-86 63404