학술논문

Multi-agent deterministic graph mapping via robot rendezvous
Document Type
Conference
Source
2012 IEEE International Conference on Robotics and Automation Robotics and Automation (ICRA), 2012 IEEE International Conference on. :1278-1283 May, 2012
Subject
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Simultaneous localization and mapping
Arrays
Mobile robots
Navigation
Image edge detection
Language
ISSN
1050-4729
Abstract
In this paper, we present a novel algorithm for deterministically mapping an undirected graph-like world with multiple synchronized agents. The application of this algorithm is the collective mapping of an indoor environment with multiple mobile robots while leveraging an embedded topological decomposition of the environment. Our algorithm relies on a group of agents that all depart from the same initial vertex in the graph and spread out to explore the graph. A centralized tree of graph hypotheses is maintained to consider loop-closure, which is deterministically verified when agents observe each other at a common vertex. To achieve efficient mapping, we introduce an active exploration method in which agents dynamically request rendezvous tasks from other available agents to validate graph hypotheses.