Topological Mapping with Sensing-Limited Robots
نویسندگان
چکیده
Most mobile robot mapping and exploration research makes use of longrange, powerful sensors such as laser rangefinders to create maps. In this paper we take a different approach, creating maps using robots with limited sensing capabilities, most notably in their sensor range. Our prototype robots use only five infrared range sensors with a maximum range of 80 cm; in general, these robots cannot “see” both sides of a hallway. We present an algorithm for such a robot to build a topological map in the presence of sensing and odometry error. In doing so, we develop a paradigm to extend topological mapping to open spaces, long considered a deficiency of topological mapping; we also introduce an evidential approach to the problem of “closing the loop.”
منابع مشابه
Topological Mapping Andmapmerging with Sensing-limited Robots
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x
متن کاملComplete Topological Mapping with Sparse Sensing
This paper describes algorithms for a mobile robot with sparse, short-range sensing to create a topological map of an unknown environment. While a limited array of sensors is appealing from the standpoint of having simpler and cheaper hardware, mapping is more difficult because the robot cannot guarantee it will detect obstacles as soon as they enter its sensing range. Thus, the robot’s mapping...
متن کاملMap-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots
In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...
متن کاملModularity in Small Distributed Robots
This paper describes the development of small mobile robots for collaborative surveillance tasks. Each of the robots, called Millibots, has only limited sensing, computation, and communication capabilities. However, by collaborating with other robots, they can still perform useful tasks. The task that we are considering is collaborative mapping and exploration inside buildings. To guarantee acc...
متن کاملLarge Scale Experimental Design for Decentralized SLAM
This paper presents an analysis of large scale decentralized SLAM under a variety of experimental conditions to illustrate design trade-o s relevant to multi-robot mapping in challenging environments. As a part of work through the MAST CTA, the focus of these robot teams is on the use of small-scale robots with limited sensing, communication and computational resources. To evaluate mapping algo...
متن کامل