Paper Info
Title
Progressive Planning for Mobile Robots (A Progress Report)
Abstract
In this article, we describe a possibilistic/probabilistic conditional planner called PTLplan, and how this planner can be integrated with a behavior-based fuzzy control system called the Thinking Cap in order to execute the generated plans. Being inspired by Bacchus and Kabanza's TLplan, PTLplan is a progressive planner that uses strategic knowledge encoded in a temporal logic to reduce its search space. Actions' effects and sensing can be context dependent and uncertain, and the resulting plans may contain conditional branches. When these plans are executed by the control system, they are transformed into B-plans which essentially are combinations of fuzzy behaviors to be executed in different contexts.
Year
DOI
Venue
2001
10.1007/3-540-37724-7_7
Advances in Plan-Based Control of Robotic Agents
Keywords
Field
DocType
different context,progress report,mobile robots,strategic knowledge,fuzzy behavior,probabilistic conditional planner,control system,search space,thinking cap,progressive planning,behavior-based fuzzy control system,progressive planner,conditional branch,mobile robot,temporal logic,context dependent,fuzzy control
Computer science,Fuzzy logic,Planner,Linear temporal logic,Artificial intelligence,Fuzzy control system,Control system,Temporal logic,Probabilistic logic,Mobile robot
Conference
Volume
ISSN
ISBN
2466
0302-9743
3-540-00168-9
Citations 
PageRank 
References 
3
0.43
20
Authors
2
Name
Order
Citations
PageRank
Lars Karlsson155642.34
Tommaso Schiavinotto2583.98