Deep reinforcement learning for autonomus control of wearable aviation system
JAXA Supercomputer System Annual Report February 2024-January 2025
Report Number: R24EDA201S01
Subject Category: Aeronautical Technology
- Responsible Representative: Daichi Wada, Aviation Technology Directorate, Aviation Integration Innovation Hub
- Contact Information: Daichi Wada(wada.daichi@jaxa.jp)
- Members: Shinsaku Hisada, Atsushi Osedo, Daichi Wada
Abstract
To develop autonomous control technique for a wearable aviation system.
Reference URL
N/A
Reasons and benefits of using JAXA Supercomputer System
Supercomputer parallel computing is effective for controller generation using deep reinforcement learning.
Achievements of the Year
To generate a attitude controller that can adapt to model changes, deep reinforcement learning was applied. A supercomputer was utilized during training to efficiently perform simulations. Theoretical analysis demonstrated that the generated controller is capable of adapting to changes such as variations in weight.
Publications
N/A
Usage of JSS
Computational Information
- Process Parallelization Methods: OpenAI Gym and PyTorch.
- Thread Parallelization Methods: OpenAI Gym and PyTorch.
- Number of Processes: 8 - 32
- Elapsed Time per Case: 12 Hour(s)
JSS3 Resources Used
Fraction of Usage in Total Resources*1(%): 0.00
Details
Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.
| System Name | CPU Resources Used(Core x Hours) | Fraction of Usage*2(%) |
|---|---|---|
| TOKI-SORA | 0.00 | 0.00 |
| TOKI-ST | 36.02 | 0.00 |
| TOKI-GP | 0.00 | 0.00 |
| TOKI-XM | 0.00 | 0.00 |
| TOKI-LM | 0.00 | 0.00 |
| TOKI-TST | 0.00 | 0.00 |
| TOKI-TGP | 0.00 | 0.00 |
| TOKI-TLM | 0.00 | 0.00 |
| File System Name | Storage Assigned(GiB) | Fraction of Usage*2(%) |
|---|---|---|
| /home | 0.00 | 0.00 |
| /data and /data2 | 0.00 | 0.00 |
| /ssd | 0.00 | 0.00 |
| Archiver Name | Storage Used(TiB) | Fraction of Usage*2(%) |
|---|---|---|
| J-SPACE | 0.00 | 0.00 |
*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
ISV Software Licenses Used
| ISV Software Licenses Used(Hours) | Fraction of Usage*2(%) | |
|---|---|---|
| ISV Software Licenses(Total) | 0.00 | 0.00 |
*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.
JAXA Supercomputer System Annual Report February 2024-January 2025