Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …

Grasping is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …

Soft robots have been extensively researched due to their flexible, deformable, and adaptive
characteristics. However, compared to rigid robots, soft robots have issues in modeling …

Generating grasp poses is a crucial component for any robot object manipulation task. In this
work, we formulate the problem of grasp generation as sampling a set of grasps using a …

General robot grasping in clutter requires the ability to synthesize grasps that work for
previously unseen objects and that are also robust to physical interactions, such as …

A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Grasping in cluttered environments is a fundamental but challenging robotic skill. It requires
both reasoning about unseen object parts and potential collisions with the manipulator. Most …

Soft robotics has yielded numerous examples of soft grippers that utilize compliance to
achieve impressive grasping performances with great simplicity, adaptability, and …

Herein, the progress of machine learning methods in the field of soft robotics, specifically in
the applications of sensing and control, is outlined. Data‐driven methods such as machine …

Grasping and manipulating objects is an important human skill. Since hand-object contact is
fundamental to grasping, capturing it can lead to important insights. However, observing …