AIMC Topic: Motion

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Precurved, Fiber-Reinforced Actuators Enable Pneumatically Efficient Replication of Complex Biological Motions.

Soft robotics
Much of the research on bioinspired soft robotics has focused on capturing the interplay of biological form and function. However, existing soft robotic actuators are mostly made with linear or planar fabrication orientations that do not represent th...

Nonlinear electromechanical modeling and robustness of soft robotic fish-like energy harvester: insights and possible issues.

Bioinspiration & biomimetics
This work investigates the possible integration of an energy harvester in a bioinspired fish-like aquatic unmanned vehicle. The defined fish-like system utilizes a reduced complexity prescribed motion as the representation for energy harvester to be ...

Collaborative obstacle avoidance algorithm of multiple bionic snake robots in fluid based on IB-LBM.

ISA transactions
This paper presents a collaborative obstacle avoidance algorithm of multiple bionic snake robots in fluid based on IB-LBM. The method can make the multiple bionic snake robots avoid different obstacles in the fluid under the control of the improved S...

Wireless MRI-Powered Reversible Orientation-Locking Capsule Robot.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Magnetic resonance imaging (MRI) scanners do not provide only high-resolution medical imaging but also magnetic robot actuation and tracking. However, the rotational motion capabilities of MRI-powered wireless magnetic capsule-type robots have been l...

Myocardial Function Imaging in Echocardiography Using Deep Learning.

IEEE transactions on medical imaging
Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic value than conventional anatomical measures such as ejection fraction. However, despite clinical availability and demonstrated efficacy, everyday clinical...

Three-Dimensional Unified Motion Control of a Robotic Standing Wheelchair for Rehabilitation Purposes.

Sensors (Basel, Switzerland)
Technological advances in recent years have shown interest in the development of robots in the medical field. The integration of robotic systems in areas of assistance and rehabilitation improves the user's quality of life. In this context, this arti...

Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge.

Sensors (Basel, Switzerland)
Adopting effective techniques to automatically detect and identify small drones is a very compelling need for a number of different stakeholders in both the public and private sectors. This work presents three different original approaches that compe...

Time-aware deep neural networks for needle tip localization in 2D ultrasound.

International journal of computer assisted radiology and surgery
PURPOSE: Accurate placement of the needle is critical in interventions like biopsies and regional anesthesia, during which incorrect needle insertion can lead to procedure failure and complications. Therefore, ultrasound guidance is widely used to im...

DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution.

Journal of healthcare engineering
Magnetic resonance imaging (MRI) is widely used in the detection and diagnosis of diseases. High-resolution MR images will help doctors to locate lesions and diagnose diseases. However, the acquisition of high-resolution MR images requires high magne...

A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders.

IEEE journal of biomedical and health informatics
We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. Perceptual clinical scores from trained ...