Grounding inference in distributed multi-robot environments

✍ Scribed by Aaron Khoo; Ian Horswill

• Book ID: 104357107
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 200 KB
• Volume: 43
• Category: Article
• ISSN: 0921-8890
• DOI: 10.1016/s0921-8890(02)00354-8

✦ Synopsis

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.