Coordinated Task Planning for Multiple Robots in Uncertain Environment
Project/Area Number |
26870258
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Control engineering/System engineering
Intelligent mechanics/Mechanical systems
|
Research Institution | Kobe University (2016) Nagoya University (2014-2015) |
Principal Investigator |
Tazaki Yuichi 神戸大学, 工学研究科, 准教授 (10547433)
|
Research Collaborator |
TAKASHIMA Kouichi
KAMEI Rihiro
FUJI Hiroshi
XIANG Jingyu
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | マルチロボット / 行動計画 / 不確かさ |
Outline of Final Research Achievements |
The goal of this research is to develop a planning method for a team of multiple robots to accomplish assigned tasks in a coordinated manner in uncertain operating environments. Conventionally, the degree of uncertainty in environmental models was assumed to be unchanging, and conservative task planning was discussed under this assumption. This research considers a framework in which robots can actively collect information of the environment and share it within the team. A task planning method that considers the cost and the potential benefit of information gathering is developed. This research made a step towards realizing efficient operation of multiple robots in disaster area, and lightening the load of human operators.
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Report
(4 results)
Research Products
(14 results)