Design of new methods for interaction measurement and control of soft tissue, including vision-based feedback.
Investigators: Prof. MacDonald, Prof. Haasdonk
The project will include soft tissue objects with components that have different characteristics, for example bone, connective tissue and muscle, which vary from animal to animal and over time. Some characteristics are therefore difficult to measure and control directly and this project will investigate the fundamentals of fusing soft tissue models created and simulated in Focus Areas A and C, with sensing methods, which is also known as data assimilation [HB9]. The goal then is to create an accurate representation of complex soft tissue objects that can enable manipulation of the object.