Simultaneous Localization Assistance for Mobile Robot Navigation in Real, Populated Environments

Peshala JAYASEKARA, Takeshi SASAKI, Hideki HASHIMOTO, Takashi KUBOTA
2012 SICE Journal of Control Measurement and System Integration  
Developing autonomous mobile robots that can coexist with human in populated environments is still considered a big challenge. To address this problem the authors propose a novel scheme to assist mobile robots by providing localization information externally. This scheme combines the autonomous navigation and target tracking research fields to arrive at a structured assistance system for autonomous mobile robots. In the proposed scheme, the environment is sensed using a laser range finder and a
more » ... camera based sensor unit. Using the Rao-Blackwellized particle filter technique, the robots that need assistance are continuously tracked. In contrast with conventional laser range finder based tracking systems, the placement of the sensor is changed to a level above average human height and the mobile robots are modified by attaching a cylindrical pole. The experiments showed the validity of the proposed scheme for simultaneous localization assistance for multiple mobile robots. Two mobile robots were simultaneously navigated in given trajectories using assistance data, successfully.
doi:10.9746/jcmsi.5.349 fatcat:wpa45lw675dwvmn4xqeucpvxii