AIMC Topic: Spacecraft

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Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

ISA transactions Mar 1, 2024
The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving in a space station. Controlling the locomotion of the robot astronaut is very challenging due to the strong nonlinearity of its complex multi-body dy...
Acceleration Astronauts Robotics Motion Space Flight Weightlessness Deceleration Spacecraft Movement Humans Algorithms Computer Simulation
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A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning.

Sensors (Basel, Switzerland) Dec 29, 2022
Most modern Earth and Universe observation spacecraft are now equipped with large lightweight and flexible structures, such as antennas, telescopes, and extendable elements. The trend of hosting more complex and bigger appendages, essential for high-...
Spacecraft Neural Networks, Computer Deep Learning Machine Learning Time Factors
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Neural-Network-Based Adaptive Singularity-Free Fixed-Time Attitude Tracking Control for Spacecrafts.

IEEE transactions on cybernetics Oct 12, 2021
In this article, a neural-network-based adaptive fixed-time control scheme is proposed for the attitude tracking of uncertain rigid spacecrafts. A novel singularity-free fixed-time switching function is presented with the directly nonsingular propert...
Feedback Spacecraft Neural Networks, Computer
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Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial data.

Nature plants Oct 4, 2021
Four species of grass generate half of all human-consumed calories. However, abundant biological data on species that produce our food remain largely inaccessible, imposing direct barriers to understanding crop yield and fitness traits. Here, we asse...
Crops, Agricultural Spacecraft Remote Sensing Technology Models, Biological Life History Traits Machine Learning Australia
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Static Attitude Determination Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Sep 26, 2021
The need to estimate the orientation between frames of reference is crucial in spacecraft navigation. Robust algorithms for this type of problem have been built by following algebraic approaches, but data-driven solutions are becoming more appealing ...
Neural Networks, Computer Spacecraft Algorithms Attitude
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Comparison of Display Modality and Human-in-the-Loop Presence for On-Orbit Inspection of Spacecraft.

Human factors Sep 24, 2021
OBJECTIVE: To investigate the impact of interface display modalities and human-in-the-loop presence on the awareness, workload, performance, and user strategies of humans interacting with teleoperated robotic systems while conducting inspection tasks...
Workload Spacecraft Robotics Orbit Humans User-Computer Interface
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The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Sensors (Basel, Switzerland) Jun 18, 2021
In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution tha...
Neural Networks, Computer Spacecraft Temperature Heating Reproducibility of Results
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Eyes on our planet.

Current biology : CB Feb 6, 2018
Combining several satellite-based tracking technologies with big data methods and machine learning, fisheries experts can now efficiently monitor the entirety of the oceans and ensure that legal limits and protected areas are respected. Observing our...
Oceans and Seas Fisheries Meteorology Climate Machine Learning Remote Sensing Technology Conservation of Natural Resources Big Data Spacecraft
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Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.

PloS one Jul 1, 2016
A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps...
Data Mining Spacecraft Machine Learning Animals Pattern Recognition, Automated Fisheries
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A Spacecraft Electrical Characteristics Multi-Label Classification Method Based on Off-Line FCM Clustering and On-Line WPSVM.

PloS one Nov 6, 2015
This paper proposes a novel multi-label classification method for resolving the spacecraft electrical characteristics problems which involve many unlabeled test data processing, high-dimensional features, long computing time and identification of slo...
Support Vector Machine Cluster Analysis Humans Pattern Recognition, Automated Fuzzy Logic Algorithms Spacecraft Electricity
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