AIMC Topic: Motion

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Emergence of behavior through morphology: a case study on an octopus inspired manipulator.

Bioinspiration & biomimetics
The complex motion abilities of the Octopus vulgaris have been an intriguing research topic for biologists and roboticists alike. Various studies have been conducted on the underlying control architectures employed by these high dimensional biologica...

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Medical image analysis
Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is therefore an essential activity and for large population studies such as the UK Biobank (UKBB), manual id...

Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis.

Medical image analysis
The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning. However, accurate estimation of the displacement of myocardial ...

Towards real-time respiratory motion prediction based on long short-term memory neural networks.

Physics in medicine and biology
Radiation therapy of thoracic and abdominal tumors requires incorporating the respiratory motion into treatments. To precisely account for the patient's respiratory motions and predict the respiratory signals, a generalized model for predictions of d...

Musculoskeletal design, control, and application of human mimetic humanoid Kenshiro.

Bioinspiration & biomimetics
We have been developing a human mimetic musculoskeletal humanoid called Kenshiro, whose design concept is to thoroughly pursue an unprecedented anatomical fidelity to the human musculoskeletal structure. We believe that research on human mimetic musc...

Fabrication and Dynamic Modeling of Bidirectional Bending Soft Actuator Integrated with Optical Waveguide Curvature Sensor.

Soft robotics
Soft robots exhibit many exciting properties due to their softness and body compliance. However, to interact with the environment safely and to perform a task effectively, a soft robot faces a series of challenges such as dexterous motion, propriocep...

Regression convolutional neural network for improved simultaneous EMG control.

Journal of neural engineering
OBJECTIVE: Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neur...

Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System.

Computational intelligence and neuroscience
A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite mobile communication system. Due to relative motion between the satellite and users, multiple access interference (MUI) introduced by multipath fading ...

Markerless 2D kinematic analysis of underwater running: A deep learning approach.

Journal of biomechanics
Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present st...

How to make nonhumanoid mobile robots more likable: Employing kinesic courtesy cues to promote appreciation.

Applied ergonomics
Service robots that mimic human social behavior can appear polite. We tested the social and behavioral efficacy and legibility of two kinesic courtesy cues on people's approval of a service robot. In a repeated-measures design, 29 volunteers were ran...