AIMC Topic: Hand Strength

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BaroTac: Barometric Three-Axis Tactile Sensor with Slip Detection Capability.

Sensors (Basel, Switzerland)
Tactile sensors for robotic applications enhance the performance of robotic end-effectors as they ca n provide tactile information to operate various tasks. In particular, tactile sensors can measure multi-axial force and detect slip can aid the end-...

Mechanically controlled robotic gripper with bistability for fast and adaptive grasping.

Bioinspiration & biomimetics
This paper presents a novel bistable gripper inspired by the closure motion found in the jaw of a hummingbird. With a bistable characteristic, the robotic gripper can grasp objects rapidly without applying continuous external force. The bistable grip...

Cooperative Hand Therapy via a Soft, Wearable, and Unilateral Telerobotic System.

IEEE transactions on bio-medical engineering
Functional rehabilitation of the hand is a complex and difficult process involving a large number of degrees of freedom (DOFs). Soft wearable hand-rehabilitation robots have assisted hand movements with a compact structural design, but effective reha...

Finger-palm synergistic soft gripper for dynamic capture via energy harvesting and dissipation.

Nature communications
Robotic grippers, inspired by human hands, show an extraordinary ability to manipulate objects of various shapes, sizes, or materials. However, capturing objects with varying kinetic energy remains challenging, regardless of the classical rigid-bodie...

A hydraulic soft microgripper for biological studies.

Scientific reports
We have developed a microscale hydraulic soft gripper and demonstrated the handling of an insect without damage. This gripper is built on Polydimethylsiloxane (PDMS) with the soft material casting technique to form three finger-like columns, which ar...

EMG-driven shared human-robot compliant control for in-hand object manipulation in hand prostheses.

Journal of neural engineering
. The limited functionality of hand prostheses remains one of the main reasons behind the lack of its wide adoption by amputees. Indeed, while commercial prostheses can perform a reasonable number of grasps, they are often inadequate for manipulating...

Chest X-ray-based opportunistic screening of sarcopenia using deep learning.

Journal of cachexia, sarcopenia and muscle
BACKGROUND: Early detection and management of sarcopenia is of clinical importance. We aimed to develop a chest X-ray-based deep learning model to predict presence of sarcopenia.

Co-optimization of robotic design and skill inspired by human hand evolution.

Bioinspiration & biomimetics
During evolution of the human hand, evolutionary morphology has been closely related to behavior in complicated environments. Numerous researchers have revealed that learned skills have affected hand evolution. Inspired by this phenomenon, a co-optim...

Design and Experimental Research of Robot Finger Sliding Tactile Sensor Based on FBG.

Sensors (Basel, Switzerland)
Aiming at the problem of flexible sliding tactile sensing for the actual grasp of intelligent robot fingers, a double-layer sliding tactile sensor based on fiber Bragg grating (FBG) for robot fingers is proposed in this paper. Firstly, the optimal em...

Review of Learning-Based Robotic Manipulation in Cluttered Environments.

Sensors (Basel, Switzerland)
Robotic manipulation refers to how robots intelligently interact with the objects in their surroundings, such as grasping and carrying an object from one place to another. Dexterous manipulating skills enable robots to assist humans in accomplishing ...