Title :
Visibility-based exploration in unknown environment containing structured obstacles
Author :
Bandyopadhyay, Tirthankar ; Liu, Zheng ; Ang, Marcelo H., Jr. ; Seah, Winston Khoon Guan
Author_Institution :
Dept. of Mech. Eng., Singapore Nat. Univ.
Abstract :
How to enable a robot to explore in an unknown environment containing obstacles via local sensing is an important research issue for robot navigation, map building, and localization. In this paper, a reactive and visibility-based exploration algorithm is proposed. By line-of-sight sensors, the robot can find the occlusion points between covered and uncovered regions, and then approach these occlusion points to "sweep" the area. In addition, a prediction model based on local sensing is applied to refine the trajectory when the robot is moving; therefore as the robot tries to cover unknown area, it also tries to maximize the monitoring of covered area. Simulation experiment shows the efficacy of our approach
Keywords :
image sensors; prediction theory; robot vision; line-of-sight sensors; local sensing; prediction model; reactive exploration; robot vision; visibility-based exploration; Computer vision; Mechanical engineering; Mobile robots; Monitoring; Navigation; Predictive models; Robot localization; Robot sensing systems; Robot vision systems; Trajectory;
Conference_Titel :
Advanced Robotics, 2005. ICAR '05. Proceedings., 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-9178-0
DOI :
10.1109/ICAR.2005.1507453