Localization of Intravehicular Flying Robot Using Particle Filter Algorithm
スポンサーリンク
概要
- 論文の詳細を見る
This paper proposes a new localization method based on the Particle Filter algorithm for intravehicular robots flying inside space vehicles, such as the International Space Station (ISS). Since safety requirements are strict in space vehicles, the development of an accurate and robust localization method is a significant issue. The robot must be capable of actively sensing the environment in order to localize itself, because in general there are no external devices such as beacons that provide positional information. Thus, we have assumed that the robot has only sonar sensors for estimating its position and attitude in three-dimensional space. We developed a simulation environment for evaluation of the proposed method. It should be noted that the proposed method can solve the so-called global localization problem in an environment including some unknown objects.
- 社団法人 日本航空宇宙学会の論文
- 2006-02-04
著者
-
Machida Kazuo
Univ. Tokyo Tokyo Jpn
-
Machida Kazuo
Research Center For Advanced Science And Technology The University Of Tokyo
-
FUJIMAKI Ryohei
Department of Aeronautics and Astronautics, The University of Tokyo
-
YAIRI Takehisa
Research Center for Advanced Science Technology, The University of Tokyo
-
Yairi Takehisa
Univ. Tokyo Tokyo Jpn
-
Yairi Takehisa
Research Center For Advanced Science And Technology The University Of Tokyo
-
Fujimaki Ryohei
Department Of Aeronautics And Astronautics The University Of Tokyo
関連論文
- Localization of Intravehicular Flying Robot Using Particle Filter Algorithm
- ANOMALY DETECTION METHOD FOR SPACECRAFTS BASED ON ASSOCIATION RULE MINING
- Spacevehicle Guidance Method Using a Laser Beam