This review paper discusses the role of haptics within virtual medical training applications,
particularly, where it can be used to aid a practitioner to learn and practice a task. The …

Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

We acquired a rapidly preserved human surgical sample from the temporal lobe of the
cerebral cortex. We stained a 1 mm3 volume with heavy metals, embedded it in resin, cut …

We present a survey of recent work on robot manipulation and sensing of deformable
objects, a field with relevant applications in diverse industries such as medicine (eg surgical …

We present a self-supervised method to learn dynamic 3D deformations of garments worn
by parametric human bodies. State-of-the-art data-driven approaches to model 3D garment …

Both the design and control of a robot play equally important roles in its task performance.
However, while optimal control is well studied in the machine learning and robotics …

We propose a method for fabricating deformable objects with spatially varying elasticity
using 3D printing. Using a single, relatively stiff printer material, our method designs an …

To fully understand how the human brain works, knowledge of its structure at high resolution
is needed. Presented here is a computationally intensive reconstruction of the ultrastructure …

The modeling and simulation of biological tissue is the core part of a virtual surgery system.
In this study, the geometric and physical methods related to soft tissue modeling were …

We propose a new generative model for 3D garment deformations that enables us to learn,
for first time, a data-driven method for virtual try-on that effectively addresses garment-body …