T–S fuzzy-based event-triggering attitude-tracking control for elastic spacecraft with quantization

A Li, CK Ahn, M Liu - IEEE transactions on aerospace and …, 2021 - ieeexplore.ieee.org
Based on the T–S fuzzy modeling method, this article aims to deal with the problem of event-
triggered integral sliding-mode attitude-tracking control for a nonlinear elastic spacecraft …

Asteroid approaching orbit optimization considering optical navigation observability

D Qiao, X Zhou, Z Zhao, T Qin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An increasing demand for investigating the solar system has envisioned many asteroid
exploration missions. Optical navigation is the principal technology to determine the …

Benchmarking human versus robot performance in emergency structural inspection

P Xia, F Xu, T Zhou, J Du - Journal of Construction Engineering and …, 2022 - ascelibrary.org
Human–robot collaboration (HRC) has gained significant momentum in various civil
engineering applications. A representative application is robot-assisted emergency …

Reinforcement-learning-based robust guidance for asteroid approaching

H Yang, J Hu, S Li, X Bai - Journal of Guidance, Control, and Dynamics, 2024 - arc.aiaa.org
This paper presents a reinforcement-learning (RL)-based robust low-thrust guidance
method for asteroid approaching under process uncertainties. Markov decision processes …

Collision-free trajectory design for long-distance hopping transfer on asteroid surface using convex optimization

X Liu, H Yang, S Li - IEEE Transactions on Aerospace and …, 2021 - ieeexplore.ieee.org
The irregular shapes and gravitational fields of asteroids challenge the design of collision-
free asteroid surface hopping trajectories. A novel collision-free long-distance transfer …

ODCC: A dynamic star spots extraction method for star sensors

X Wan, G Wang, X Wei, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we consider the problem of extracting star spots for traditional star sensors
under highly dynamic conditions. Under this setting, it is difficult to effectively extract star …

Interactive imitation learning for spacecraft path-planning in binary asteroid systems

K Parmar, D Guzzetti - Advances in Space Research, 2021 - Elsevier
Exploration of small body systems poses the problem of designing path planning strategies
for possibly uncharted environments. Traditional methods aimed at developing rigorous …

Comparison of Learning Spacecraft Path-Planning Solutions from Imitation in Three-Body Dynamics

K Parmar, E Taheri, D Guzzetti - Journal of Spacecraft and Rockets, 2023 - arc.aiaa.org
Spacecraft path-planning approaches that are capable of producing not only autonomous
but also generalized solutions promise to open new modalities for robotic exploration and …

Towards Learning Autonomous Spacecraft Path-Planning from Demonstrations and Environment Interactions

K Parmar - 2022 - search.proquest.com
An increasing interest in the robotic exploration of uncharted space environments is
warranting a spacecraft path-planning approach that is capable of producing not only …

Assurance of Human-AI Interaction Based Systems for Spaceflight: A Discussion of Critical Aspects to Increase Mutual Trust and Reliability

K Parmar, NL Parrish - AIAA SCITECH 2024 Forum, 2024 - arc.aiaa.org
The increasing interest in machine learning (ML) for various spaceflight applications is
becoming a prevalent topic of discussion within the relevant parts of the aerospace …