AIMC Topic: Hand Strength

Clear Filters Showing 121 to 130 of 311 articles

A bionic soft tongue driven by shape memory alloy and pneumatics.

Bioinspiration & biomimetics
Soft grippers have exhibited considerable advantages owing to their flexible deformation, compliant operation, and safe interaction with objects. The ability to grip solid and liquid objects can greatly expand the application range of the soft grippe...

Object Manipulation with an Anthropomorphic Robotic Hand via Deep Reinforcement Learning with a Synergy Space of Natural Hand Poses.

Sensors (Basel, Switzerland)
Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand ...

Combining Sensors Information to Enhance Pneumatic Grippers Performance.

Sensors (Basel, Switzerland)
The gripper is the far end of a robotic arm. It is responsible for the contacts between the robot itself and all the items present in a work space, or even in a social space. Therefore, to provide grippers with intelligent behaviors is fundamental, e...

Pneumatically Controlled Reconfigurable Bistable Bionic Flower for Robotic Gripper.

Soft robotics
Beyond their colorful appearances and versatile geometries, flowers can self-shape-morph by adapting to environmental changes. Nature-inspired artificial systems that mimic their natural counterparts in function, flexibility, and adaptation find an e...

Modeling and analysis of a passively adaptive soft gripper with the bio-inspired compliant mechanism.

Bioinspiration & biomimetics
Similar to the end effectors for traditional rigid robots, those for soft robots are essential as the interacting media between the robots and their environments. Inspired by the forelegs of climbing animals, a passively adaptive soft gripper (ASG), ...

A Single Target Grasp Detection Network Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Grasp detection based on convolutional neural network has gained some achievements. However, overfitting of multilayer convolutional neural network still exists and leads to poor detection precision. To acquire high detection accuracy, a single targe...

Adaptive Self-Sealing Suction-Based Soft Robotic Gripper.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
While suction cups prevail as common gripping tools for a wide range of real-world parts and surfaces, they often fail to seal the contact interface when engaging with irregular shapes and textured surfaces. In this work, the authors propose a suctio...

A Wide-Range Stiffness-Tunable Soft Actuator Inspired by Deep-Sea Glass Sponges.

Soft robotics
Achieving both high compliance and stiffness is a key issue in stiffness-tunable soft robots. A wide-range variable-stiffness method keeping pure soft characteristic is proposed by bioinspired design of deep-sea glass sponges adopting thermoplastic s...

The Functional Rotational Workspace of a Human-Robot System can be Influenced by Adjusting the Telemanipulator Handle Orientation.

IEEE transactions on haptics
The handle design of telemanipulation master devices has not been extensively studied so far. However, the master device handle is an integral part of the robotic system through which the user interacts with the system. Previous work showed that the ...

Soft-Tentacle Gripper for Pipe Crawling to Inspect Industrial Facilities Using UAVs.

Sensors (Basel, Switzerland)
This paper presents a crawling mechanism using a soft-tentacle gripper integrated into an unmanned aerial vehicle for pipe inspection in industrial environments. The objective was to allow the aerial robot to perch and crawl along the pipe, minimizin...