Abstract
Traditional symbolic reasoning systems are typically built on a transaction model of computation, which complicates the process of synchronizing their world models with changes in a dynamic environment. This problem is exacerbated in the multi-robot case, where there are now n world models keep in synch. In this paper, we describe an inference grounding and coordination mechanism for robot teams based on tagged behavior-based systems. This approach supports a large subset of classical AI techniques while providing a novel representation that allows team members to share information efficiently. We illustrate our approach on two problems involving systematic spatial search.
Original language | English (US) |
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Pages (from-to) | 121-132 |
Number of pages | 12 |
Journal | Robotics and Autonomous Systems |
Volume | 43 |
Issue number | 2-3 |
DOIs | |
State | Published - May 31 2003 |
Event | Perceptual Anchoring: Anchoring Symbols to Sensor Data in Sing - North Falmouth, MA, United States Duration: Nov 2 2001 → Nov 4 2001 |
Keywords
- Autonomous mobile robots
- Behavior-based control
- Multi-robot teams
ASJC Scopus subject areas
- Software
- General Mathematics
- Control and Systems Engineering
- Computer Science Applications