In the section Sensorimotor control, we in investigate how we coordinate our movements to the environment. The relation of the movement to the environment can be implicit, for instance when we try to answer the question how we activate our muscles to raise from a chair or ride our bike efficiently. In other cases, such as when trying to hit a baseball or when picking up an egg without breaking it, we can only understand human motor behaviour by also investigating how we use sensory information about the environment. This information can be visual (e.g. how fast is the baseball moving, what is its size, and at what distance is the outfielder?), but also haptic (how heavy is the bat, and how slippery the egg?).
The relation of our movements to the environment changes due to changes in our body (growth, training). Moreover, the sensory information also changes, for instance due to ageing of the skin and wearing glasses. One of the essential aspects of human motor behaviour is that we can adapt to such new circumstances. How do we explore our motor capabilities and learn from errors? In what way are we trying to optimize our behaviour? In order to answer such questions on human (sensori)motor behaviour, we combine experimental work with mathematical modelling.