Deep learning and artificial neural networks for spacecraft dynamics, navigation and control
S Silvestrini, M Lavagna - Drones, 2022 - mdpi.com
The growing interest in Artificial Intelligence is pervading several domains of technology and
robotics research. Only recently has the space community started to investigate deep …
robotics research. Only recently has the space community started to investigate deep …
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges
This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …
spacecraft control problems. Different application fields are considered, eg, guidance …
Target Localization for Autonomous Landing Site Detection: A Review and Preliminary Result with Static Image Photogrammetry
The advancement of autonomous technology in Unmanned Aerial Vehicles (UAVs) has
piloted a new era in aviation. While UAVs were initially utilized only for the military, rescue …
piloted a new era in aviation. While UAVs were initially utilized only for the military, rescue …
Dynamic simulation based on feature transfer learning with source domain adaptive optimization: Application of data-driven model for aero-engines
X Jia, D Zhou, J Hao, Y Ma, Z Peng - Measurement, 2023 - Elsevier
Sensors are difficult to arrange inside complex aero-engine systems because of harsh
operating environment. Aero-engine thermodynamic models can be used as virtual sensors …
operating environment. Aero-engine thermodynamic models can be used as virtual sensors …
[HTML][HTML] Efficient adversarial attacks detection for deep reinforcement learning-based autonomous planetary landing GNC
Z Wang, N Aouf - Acta Astronautica, 2024 - Elsevier
Given the constraints of remote communication and the unpredictability of the environment,
autonomous planetary landing mechanisms are expected to achieve the high criteria of …
autonomous planetary landing mechanisms are expected to achieve the high criteria of …
Energy-Adaptive and Robust Monitoring for Smart Farms Based on Solar-Powered Wireless Sensors
While smart farm technologies significantly aid in reducing costs and boosting productivity
for farmers, they often lack the necessary robustness against cyberattacks and adaptability …
for farmers, they often lack the necessary robustness against cyberattacks and adaptability …
Modern Spacecraft GNC
The following chapter gives an overview on modern techniques for guidance, navigation,
and control (GNC). In particular, an overview of artificial intelligence (AI) techniques is …
and control (GNC). In particular, an overview of artificial intelligence (AI) techniques is …
Concept of operations for the Neptune system mission Arcanum
JE McKevitt, S Beegadhur, L Ayin-Walsh… - The Aeronautical …, 2024 - cambridge.org
The Arcanum mission is a proposed L-class mother-daughter spacecraft configuration for
the Neptunian system, the mass and volume of which have been maximised to highlight the …
the Neptunian system, the mass and volume of which have been maximised to highlight the …
A deep reinforcement learning strategy for UAV autonomous landing on a platform
Z Jiang, G Song - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) is increasingly becoming an important tool used for a
variety of tasks. In addition, Reinforcement Learning (RL) is a popular research topic. In this …
variety of tasks. In addition, Reinforcement Learning (RL) is a popular research topic. In this …
Onboard perception-assisted high fidelity simulation framework for autonomous planetary soft-landing
This article presents an onboard perception-assisted high-fidelity simulation framework for
autonomous planetary soft-landing, enabling visual information processing tightly integrated …
autonomous planetary soft-landing, enabling visual information processing tightly integrated …