A unified motion planning method for a multifunctional underwater robot

Koichiro Shiraishi, Hajime Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper deals with motion planning for a multifunctional underwater robot which can accomplish various missions, e.g., swimming, walking and grasping objects. Authors have developed a unified motion planning method which can generate motion planning for a variety of task by a single algorithm. In this method, motion planning problems are modeled as finite horizon Markov decision processes. The optimum motion planning is obtained by Dynamic Programming, however Dynamic Programming is sometimes thought to be of limited applicability because of the curse of dimensionality. To avoid the curse of dimensionality, authors applied a random network as a state transition network. The explosion of the number of states can be suppressed by using the random network. The effectiveness of the proposed method is demonstrated through numerical simulations of two types of tasks for multifunctional robots. One is a reaching task, the other is a generating thrust force task.

Original languageEnglish
Title of host publicationProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Pages591-596
Number of pages6
Publication statusPublished - Dec 1 2009
Event14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita, Japan
Duration: Feb 5 2008Feb 7 2009

Publication series

NameProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

Other

Other14th International Symposium on Artificial Life and Robotics, AROB 14th'09
CountryJapan
CityOita
Period2/5/082/7/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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