Teeth mold point cloud completion via data augmentation and hybrid rl-gan
JD Toscano, C Zuniga-Navarrete… - Journal of …, 2023 - asmedigitalcollection.asme.org
Teeth scans are essential for many applications in orthodontics, where the teeth structures
are virtualized to facilitate the design and fabrication of the prosthetic piece. Nevertheless …
are virtualized to facilitate the design and fabrication of the prosthetic piece. Nevertheless …
Deep reinforcement learning for autonomous spacecraft inspection using illumination
This paper investigates the problem of on-orbit spacecraft inspection using a single free-
flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural …
flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural …
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
K Dunlap, N Hamilton, F Viramontes… - arXiv preprint arXiv …, 2024 - arxiv.org
As the number of spacecraft on orbit continues to grow, it is challenging for human operators
to constantly monitor and plan for all missions. Autonomous control methods such as …
to constantly monitor and plan for all missions. Autonomous control methods such as …
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
K Dunlap, N Hamilton, Z Lippay, M Shubert… - arXiv preprint arXiv …, 2024 - arxiv.org
On-orbit spacecraft inspection is an important capability for enabling servicing and
manufacturing missions and extending the life of spacecraft. However, as space operations …
manufacturing missions and extending the life of spacecraft. However, as space operations …
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
For many space applications, traditional control methods are often used during operation.
However, as the number of space assets continues to grow, autonomous operation can …
However, as the number of space assets continues to grow, autonomous operation can …
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates
A de la Barcena, C Rhodes, J McCarroll… - arXiv preprint arXiv …, 2024 - arxiv.org
As the space domain becomes increasingly congested, autonomy is proposed as one
approach to enable small numbers of human ground operators to manage large …
approach to enable small numbers of human ground operators to manage large …
Run-Time Assured Reinforcement Learning for Safe Spacecraft Rendezvous with Obstacle Avoidance
Y Xiao, Z Yang, Y Zhou, Z Huang - International Symposium on …, 2023 - Springer
Autonomous spacecraft rendezvous poses significant challenges in increasingly complex
space missions. Recently, Reinforcement Learning (RL) has proven effective in the domain …
space missions. Recently, Reinforcement Learning (RL) has proven effective in the domain …
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J Xiao, J Liu¹, X Chen, Y Dong… - IoT as a Service: 8th EAI …, 2023 - books.google.com
With the rapid development of the information and communication technology, more and
more computation-intensive and also latency-sensitive applications have been emerging …
more computation-intensive and also latency-sensitive applications have been emerging …
Safe and Robust Reinforcement Learning for Autonomous Cyber-Physical Systems
N Hamilton - 2022 - search.proquest.com
Recent successes have brought Reinforcement Learning (RL) to the forefront of the AI
discussion. Additional research consistently shows RL training produces optimal results …
discussion. Additional research consistently shows RL training produces optimal results …