This paper presents a new sensing modality and stratagem for multirobot exploration. The approach is based on using pairs of robots that observe each other's behavior, acting in concert to reduce odometry errors. We assume the robots can both directly sense nearby obstacles and see each other. This allows the robots to obtain a map of higher accuracy than would be possible with robots acting independently by reducing inaccuracies that occur over time from dead reckoning errors. Furthermore, by exploiting the ability of the robots to see each other, we can detect opaque obstacles in the environment independently of their surface reflectance properties. Two different algorithms, based on the size of the environment, are introduced with a complexity analysis, and experimental results in simulation and with real robots.
[1]
Gregory Dudek,et al.
Precise positioning using model-based maps
,
1994,
Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[2]
Joseph O'Rourke,et al.
Computational Geometry in C.
,
1995
.
[3]
Gregory Dudek,et al.
Learning visual landmarks for pose estimation
,
1999,
Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[4]
Wolfram Burgard,et al.
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
,
1998,
Auton. Robots.
[5]
Gregory Dudek,et al.
Multi-Robot Exploration of an Unknown Environment, Efficiently Reducing the Odometry Error
,
1997,
IJCAI.