The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …

In this review paper, we are interested in the models and algorithms that allow generic
simulation and control of a soft robot. First, we start with a quick overview of modeling …

Large-scale robotic skin with tactile sensing ability is emerging with the potential for use in
close-contact human–robot systems. Although recent developments in vision-based tactile …

The technological differences between traditional robotics and soft robotics have an impact
on all of the modeling tools generally in use, including direct kinematics and inverse models …

For many novel applications, such as patient-specific computer-aided surgery, conventional
solution techniques of the underlying nonlinear problems are usually computationally too …

OpenAI Gym is one of the standard interfaces used to train Reinforcement Learning (RL)
Algorithms. The Simulation Open Framework Architecture (SOFA) is a physics-based engine …

This paper presents a survey of the state-of-the-art deformable models studied in the
literature, with regard to soft tissue deformable modeling for interactive surgical simulation. It …

During the minimally-invasive liver surgery, only the partial surface view of the liver is
usually provided to the surgeon via the laparoscopic camera. Therefore, it is necessary to …

Mathematical constitutive models are crucially important for the real viscoelastic solid
materials in academic investigation and engineering application. The viscoelastic solid …

The last few decades have been dominated by the need for digital control of various
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …