AIMC Topic: Hand Strength

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Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots.

Sensors (Basel, Switzerland) Jul 13, 2022
As the end execution tool of agricultural robots, the manipulator directly determines whether the grasping task can be successfully completed. The human hand can adapt to various objects and achieve stable grasping, which is the highest goal for mani...
Humans Hand Strength Robotics Robotic Surgical Procedures Hand Fingers
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Design, Fabrication, and Performance Test of a New Type of Soft-Robotic Gripper for Grasping.

Sensors (Basel, Switzerland) Jul 13, 2022
This investigation presents a novel soft-robotic pneumatic gripper that consists of three newly proposed soft actuators. The newly proposed soft actuators adopt a composite structure of two kinds of pneumatic networks which can work independently and...
Reproducibility of Results Hand Strength Robotics Equipment Design Robotic Surgical Procedures
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Versatile Adhesion-Based Gripping via an Unstructured Variable Stiffness Membrane.

Soft robotics Jul 12, 2022
Reversible and variable dry adhesion is a promising approach for versatile robotic grasping. Variable stiffness materials with a modulus that can be tuned using an external stimulus offer a unique approach to realize dynamic control of adhesion. In t...
Hand Strength Robotics Equipment Design Physical Phenomena Adhesives
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Design and Research of an Underactuated Manipulator Based on the Metamorphic Mechanism.

Sensors (Basel, Switzerland) Jun 24, 2022
Robot hands play an important role in the interaction between robots and the environment, and the precision and complexity of their tasks in work production are becoming higher and higher. However, because the traditional manipulator has too many dri...
Biomechanical Phenomena Hand Strength Robotics Hand Mechanical Phenomena
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Model Analysis and Experimental Investigation of Soft Pneumatic Manipulator for Fruit Grasping.

Sensors (Basel, Switzerland) Jun 15, 2022
With the superior ductility and flexibility brought by compliant bodies, soft manipulators provide a nondestructive manner to grasp delicate objects, which has been developing gradually as a rising focus of soft robots. However, the unexpected phenom...
Models, Theoretical Hand Strength Robotics Equipment Design Fruit
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DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks.

PloS one Jun 8, 2022
This paper focuses on 6D pose estimation for weakly textured targets from RGB-D images. A 6D pose estimation algorithm (DOPE++) based on a deep neural network for weakly textured objects is proposed to solve the poor real-time pose estimation and low...
Neural Networks, Computer Algorithms Hand Strength
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Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure.

Sensors (Basel, Switzerland) Jun 4, 2022
Robotics grasp detection has mostly used the extraction of candidate grasping rectangles; those discrete sampling methods are time-consuming and may ignore the potential best grasp synthesis. This paper proposes a new pixel-level grasping detection m...
Neural Networks, Computer Hand Strength Robotics
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Research on the Industrial Robot Grasping Method Based on Multisensor Data Fusion and Binocular Vision.

Computational intelligence and neuroscience May 25, 2022
At present, most of the handling industrial robots working on the production line are operated by teaching or preprogramming, which makes the flexibility of the production line poor and does not meet the flexible production requirements of the materi...
Computers Hand Strength Robotics Calibration Vision, Binocular
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Deep Learning Method for Grasping Novel Objects Using Dexterous Hands.

IEEE transactions on cybernetics May 19, 2022
Robotic grasping ability lags far behind human skills and poses a significant challenge in the robotics research area. According to the grasping part of an object, humans can select the appropriate grasping postures of their fingers. When humans gras...
Humans Deep Learning Hand Strength Robotics Hand Fingers
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Teleoperation of High-Speed Robot Hand with High-Speed Finger Position Recognition and High-Accuracy Grasp Type Estimation.

Sensors (Basel, Switzerland) May 16, 2022
This paper focuses on the teleoperation of a robot hand on the basis of finger position recognition and grasp type estimation. For the finger position recognition, we propose a new method that fuses machine learning and high-speed image-processing te...
Humans Hand Strength Robotics Hand Motion Fingers
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