Safe navigation of a mobile robot considering the occluded obstacles

Seokgyu Kim, Woojin Chung

Research output: Contribution to journalArticlepeer-review


In this paper, we present one approach to achieve safe navigation in indoor dynamic environment. So far, there have been various useful collision avoidance algorithms and path planning schemes. However, those algorithms have a fundamental limitation that the robot can avoid only "visible" obstacles. In real environment, it is not possible to detect all the dynamic obstacles around the robot. There exist a lot of "occluded" regions due to the limitation of field of view. In order to avoid possible collisions, it is desirable to consider visibility information. Then, a robot can reduce the speed or modify a path. This paper proposes a safe navigation scheme to reduce the risk of collision due to unexpected dynamic obstacles. The robot's motion is controlled according to a hybrid control scheme. The possibility of collision is dually reflected to a path planning and a speed control. The proposed scheme clearly indicates the structural procedure on how to model and to exploit the risk of navigation. The proposed scheme is experimentally tested in a real office building. The presented result shows that the robot moves along the safe path to obtain sufficient field of view, while appropriate speed control is carried out.

Original languageEnglish
Pages (from-to)141-147
Number of pages7
JournalJournal of Institute of Control, Robotics and Systems
Issue number2
Publication statusPublished - 2008 Feb


  • Autonomous navigation
  • Mobile robot
  • Obstacle avoidance
  • Occluded dynamic obstacle
  • Speed control

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Applied Mathematics


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