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Motion

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Bioinspired handheld time-share driven robot with expandable DoFs.

Nature communications
Handheld robots offer accessible solutions with a short learning curve to enhance operator capabilities. However, their controllable degree-of-freedoms are limited due to scarce space for actuators. Inspired by muscle movements stimulated by nerves, ...

Inverse radon transform with deep learning: an application in cardiac motion correction.

Physics in medicine and biology
. This paper addresses performing inverse radon transform (IRT) with artificial neural network (ANN) or deep learning, simultaneously with cardiac motion correction (MC). The suggested application domain is cardiac image reconstruction in emission or...

Autonomous Detection of Humans in Off-Limits Mountain Areas.

Sensors (Basel, Switzerland)
This paper is on the autonomous detection of humans in off-limits mountains. In off-limits mountains, a human rarely exists, thus human detection is an extremely rare event. Due to the advances in artificial intelligence, object detection-classificat...

Fish robotics: multi-fin propulsion and the coupling of fin phase, spacing, and compliance.

Bioinspiration & biomimetics
Fish coordinate the motion of their fins and body to create the time-varying forces required for swimming and agile maneuvers. To effectively adapt this biological strategy for underwater robots, it is necessary to understand how the location and coo...

A magnetic multi-layer soft robot for on-demand targeted adhesion.

Nature communications
Magnetic soft robots have shown great potential for biomedical applications due to their high shape reconfigurability, motion agility, and multi-functionality in physiological environments. Magnetic soft robots with multi-layer structures can enhance...

Realization and Control of Robotic Injection Prototype With Instantaneous Remote Center of Motion Mechanism.

IEEE transactions on bio-medical engineering
OBJECTIVE: Although there have been studies conducted on the instantaneous remote center of motion (RCM) mechanism, the general closed-loop control method has not been studied. Thus, this article fills that gap and employs the advantages of this mech...

Forward dynamics computational modelling of a cyclist fall with the inclusion of protective response using deep learning-based human pose estimation.

Journal of biomechanics
Single bicycle crashes, i.e., falls and impacts not involving a collision with another road user, are a significantly underestimated road safety problem. The motions and behaviours of falling people, or fall kinematics, are often investigated in the ...

Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging.

Nature methods
The development of high-resolution microscopes has made it possible to investigate cellular processes in 3D and over time. However, observing fast cellular dynamics remains challenging because of photobleaching and phototoxicity. Here we report the i...

A Generative Model to Embed Human Expressivity into Robot Motions.

Sensors (Basel, Switzerland)
This paper presents a model for generating expressive robot motions based on human expressive movements. The proposed data-driven approach combines variational autoencoders and a generative adversarial network framework to extract the essential featu...

Deep learning-based video-analysis of instrument motion in microvascular anastomosis training.

Acta neurochirurgica
PURPOSE: Attaining sufficient microsurgical skills is paramount for neurosurgical trainees. Kinematic analysis of surgical instruments using video offers the potential for an objective assessment of microsurgical proficiency, thereby enhancing surgic...