AI Medical Compendium Topic:
Motion

Clear Filters Showing 621 to 630 of 846 articles

Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks.

Computational intelligence and neuroscience
A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real time. The learning properties of the system have been challenged in a cla...

Robotic device shows lack of momentum enhancement for gymnotiform swimmers.

Bioinspiration & biomimetics
Many fish generate thrust by undulating one or multiple elongated fins while keeping their body straight. This propulsion mechanism has stimulated interest in both biology and bio-inspired marine propulsion because its maneuverability and efficiency ...

Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

PloS one
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving tumor target can be accomplished either by moving the radiation source, the patient, or both. As the treatment beam is on during this process, the pri...

A Novel Artificial Organic Control System for Mobile Robot Navigation in Assisted Living Using Vision- and Neural-Based Strategies.

Computational intelligence and neuroscience
Robots in assisted living (RAL) are an alternative to support families and professional caregivers with a wide range of possibilities to take care of elderly people. Navigation of mobile robots is a challenging problem due to the uncertainty and dyna...

Force Analysis and Evaluation of a Pelvic Support Walking Robot with Joint Compliance.

Journal of healthcare engineering
The force analysis of a pelvic support walking robot with joint compliance is discussed in this paper. During gait training, pelvic motions of hemiplegic patients may be excessively large or out of control; however, restriction of pelvic motions is n...

Optimal trajectory generation for time-to-contact based aerial robotic perching.

Bioinspiration & biomimetics
Many biological organisms (e.g. insects, birds, and mammals) rely on the perception of an informational variable called time-to-contact (TTC) to control their motion for various tasks such as avoiding obstacles, landing, or interception. TTC, defined...

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Medical image analysis
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor...

Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.

Neural networks : the official journal of the International Neural Network Society
Autonomous robots need to interact with unknown, unstructured and changing environments, constantly facing novel challenges. Therefore, continuous online adaptation for lifelong-learning and the need of sample-efficient mechanisms to adapt to changes...

Origami-Based Vacuum Pneumatic Artificial Muscles with Large Contraction Ratios.

Soft robotics
A novel linear actuator called origami-based vacuum pneumatic artificial muscle (OV-PAM) is proposed in this study that can produce large forces (>400 N) with a contraction ratio >90% of the active length of the actuator. Moreover, some of the design...

Control of a muscle-like soft actuator via a bioinspired approach.

Bioinspiration & biomimetics
Soft actuators have played an indispensable role in generating compliant motions of soft robots. Among the various soft actuators explored for soft robotic applications, dielectric elastomer actuators (DEAs) have caught the eye with their intriguing ...