Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

This paper discusses recent research progress in robotic grasping and manipulation in the
light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first …

Natural-language dialog is key for an intuitive human–robot interaction. It can be used not
only to express humans' intents but also to communicate instructions for improvement if a …

Recent advances in task planning leverage Large Language Models (LLMs) to improve
generalizability by combining such models with classical planning algorithms to address …

Grasp classification is pivotal for understanding human interactions with objects, with wide-
ranging applications in robotics, prosthetics, and rehabilitation. This study introduces a novel …

Existing perceptional and analytical techniques for quantifying anthropomorphism of robotic
hand-arm systems have significant limitations. The former is based on subjective appraisals …

Human dexterity is an invaluable capability for precise manipulation of objects in complex
tasks. The capability of robots to similarly grasp and perform in-hand manipulation of objects …

Recently, most soft grippers rely on complex mechanisms or complicated structures, leading
to challenging fabrication and mathematical modeling. This study presents an innovative soft …

Introduction The rise of soft robotics has driven the development of devices for assistance in
activities of daily living (ADL). Likewise, different types of actuation have been developed for …

Training with “Extended Reality” or X-Reality (XR) systems can undoubtedly enhance the
control of the myoelectric prostheses. However, there is no consensus on which factors …