Results 291 to 300 of about 2,151,300 (377)

Sensor‐Embedded Muscle for Closed‐Loop Controllable Actuation in Proprioceptive Biohybrid Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Skeletal muscle tissue‐based bioactuators move in response to externally applied electrical stimuli in open‐loop control, which lacks knowledge of the actuator's state. Herein, a soft and fiber‐shaped piezoresistive mechanosensor that integrates with the soft tissue and operates in the cell culture environment is used to create the first proprioceptive
Miriam Filippi   +8 more
wiley   +1 more source

PairTilt: Design and Control of an Active Tilt‐Rotor Quadcopter for Improved Efficiency and Agility

open access: yesAdvanced Intelligent Systems, EarlyView.
PairTilt is an actuated tilt‐rotor unmanned aerial vehicle capable of active shape reconfiguration, balancing simplicity, efficiency, and agility. Its H‐shaped frame incorporates pairwise tiltable rotors, which reduce gyroscopic torque and decouple key dynamics, enhancing maneuverability and reducing drag.
Jerry Tang, Mark W. Mueller
wiley   +1 more source

Patient knowledge in anaesthesia: Psychometric development of the RAKQ-The Rotterdam anaesthesia Knowledge questionnaire. [PDF]

open access: yesPLoS One
van den Heuvel SF   +8 more
europepmc   +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

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

Multistable Physical Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran   +3 more
wiley   +1 more source

Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose   +3 more
wiley   +1 more source

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