2022 Fiscal Year Research-status Report
Sampling-guided symbolic control framework under changing environments
| Project/Area Number |
21K14191
|
|---|
| Research Institution | National Institute of Advanced Industrial Science and Technology |
|---|
Principal Investigator |
プルエクプラサート サシニー 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (50814795)
|
|---|
| Project Period (FY) |
2021-04-01 – 2024-03-31
|
| Keywords | symbolic control / motion planning / robotics / control theory |
|---|
| Outline of Annual Research Achievements |
During this academic year, there were two main research directions of the project.
1. The first direction is to extend the developed symbolic control framework to control and monitor multi-agent systems, focusing on nonholonomic robots.
2. The second direction is to study a safe learning approach using discrete (symbolic) structures.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project is progressing smoothly. We are extending the developed symbolic controller synthesis algorithm to multi-agent systems.
|
| Strategy for Future Research Activity |
For the next academic year, which is the last phase of this research project, we will focus on extending the symbolic control algorithms to applications such as robots. We will perform simulations to demonstrate the effectiveness of the algorithms.
|
| Causes of Carryover |
The reason for incurring the amount to be used next fiscal year is that I cannot travel overseas due to the pandemic.
|
