Cognition refers to intelligent behaviour, the essential characteristic of living beings. In humans, this behaviour is based on key cognitive capacities such as perception, action, emotion, language, learning, memory, reasoning and consciousness.

Cognitive robotics is about developing intelligence in robots. The Cognitive Robotics research group at TU Delft focuses primarily on how robots can best plan and carry out their subsequent actions, so three cognitive aspects come into play: perception, thinking and acting.

The Department of Cognitive Robotics brings together Delft robotics research, which used to be divided into two separate departments: Systems and Control and Biomechanical Engineering. Our research focuses on:

The fundamental work of the Department of Cognitive Robotics is used in various Delft field labs, where practical robot applications are being developed and tested on a small scale (RoboHouse, SAM|XL and AIRLab Delft). From these field labs, the work eventually finds its way into practical applications in numerous industries, agriculture and horticulture, and retail.

Cooperation / partners


Reducing motion sickness crucial to acceptance of self-driving cars

Self-driving cars still have a number of hurdles to overcome. Reducing motion sickness is a crucial factor in this respect. This is what Professor Riender Happee will argue in his inaugural address at TU Delft on Friday, 6 October. Self-driving cars have great potential for providing safe, comfortable and sustainable transport. And developments are ongoing. In San Francisco, for example, it is already possible to order a self-driving taxi. Nevertheless, there are still a number of obstacles to overcome before self-driving cars are truly accepted by the general public. Self-driving car sickness “I argue that a high level of comfort in self-driving cars is crucial for acceptance,” says Professor Riender Happee of TU Delft’s Faculty of Mechanical, Maritime and Materials Engineering (3mE). “After all, that comfort is necessary in order to profit from the great advantage of self-driving cars: the fact that you can take your eyes off the road during your journey, and literally have your hands free for other activities, like reading.” “Self-driving car sickness, i.e. motion sickness in self-driving cars, is very important in this context. Motion sickness occurs mainly when passengers take their eyes off the road. My research therefore focuses largely on how we can explain and prevent motion sickness in self-driving cars.” Driving to nausea The main theory about motion sickness is that of sensory conflict. This assumes that motion sickness occurs because there is a big difference between the motion you experience and the motion (and acceleration) you expect. “Fortunately, there are many ways to mitigate this conflict. For example, we are already achieving a 50 percent reduction in motion sickness in simulations and experiments in which we literally drive people to nausea. This can be done by adjusting the driving style and taking corners less quickly for example, and also by means of active suspension or by adjusting the seat. Another approach is a certain acceptance, in which case you simply give a warning when you know a more challenging stretch is coming up, with lots of turns or busy city traffic: “now take your eyes off your screen for a while and focus on the horizon.” Individual differences As far as motion sickness is concerned, there are significant differences from one individual to another. Some people get carsick very quickly, while others hardly ever experience motion sickness at all. These individual differences are also part of Happee’s globally leading research on driving comfort and the modelling thereof. “All in all, there are many factors involved in motion sickness,” notes the new professor. “In the coming years, we want to further develop and integrate biomechanical models of the human body, the perception of motion, and the development of motion sickness, which will help us gain an even better understanding of the processes involved in the development of motion sickness. With these models and the underlying understanding, we will be able to design self-driving vehicles much more effectively, taking circumstances, tasks and individual differences into account.”

Cosimo Della Santina in various media

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