Results 201 to 210 of about 389,766 (311)

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang   +3 more
wiley   +1 more source

Motion Capture and Augmented‐Reality‐Assisted Surface Reconstruction and Robotic Remanufacturing System

open access: yesAdvanced Intelligent Systems, EarlyView.
An virtual reality augmented‐reality‐ and motion‐capture‐assisted surface remanufacturing system is presented. Operators can interactively reconstruct the virtual model using the designed motion‐captured pointer directly on the physical workpiece surface. Operators can intuitively and interactively manipulate the system to accomplish tasks ranging from
Guoliang Liu, Wenlei Sun, Pinwen Li
wiley   +1 more source

Inter‐Day Grasping Model Generalization for Prosthetic Hand Using Soft Optical Sensing Sleeve

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents an optical sensing sleeve that addresses challenges in inter‐day grasping intent recognition caused by donning and doffing during repeated use. Featuring six specialized optical waveguides the sleeve accurately maps grasping forces with high generalization inter‐day and inner‐day.
Linhang Ju   +10 more
wiley   +1 more source

The entropia virtual machine for desktop grids [PDF]

open access: green, 2005
Brad Calder   +3 more
openalex   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda   +3 more
wiley   +1 more source

Construction of a Verified Virtual NC Simulator for the Cutting Machines at Shipyard Using the Digital Manufacturing Technology [PDF]

open access: bronze, 2005
Ho-Rim Jung   +5 more
openalex   +1 more source

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