A multivalued logic approach to integrating planning and control
Artificial Intelligence - Special volume on planning and scheduling
Experiences with an interactive museum tour-guide robot
Artificial Intelligence - Special issue on applications of artificial intelligence
Conditional Progressive Planning: A Preliminary Report
SCAI '01 Proceedings of the Seventh Scandinavian Conference on Artificial Intelligence
Exploring artificial intelligence in the new millennium
Contingent planning under uncertainty via stochastic satisfiability
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
The Description Logic Handbook
The Description Logic Handbook
Cognitive maps for mobile robots-an object based approach
Robotics and Autonomous Systems
Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments
Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Macro-FF: improving AI planning with automatically learned macro-operators
Journal of Artificial Intelligence Research
The altricial-precocial spectrum for robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reactive reasoning and planning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Integrating grid-based and topological maps for mobile robot navigation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
IEEE Transactions on Robotics
Toward a Unified Bayesian Approach to Hybrid Metric--Topological SLAM
IEEE Transactions on Robotics
Characterization of zero tracking error references in the kinematic control of wheeled mobile robots
Robotics and Autonomous Systems
A Ubiquitous and Cooperative Service Framework for Network Robot System
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Grounding commonsense knowledge in intelligent systems
Journal of Ambient Intelligence and Smart Environments
Semantic mapping with a probabilistic description logic
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Implementing automated robot task planning and execution based on description logic KB
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
Holography map for home robot: an object-oriented approach
Intelligent Service Robotics
Grounding commonsense knowledge in intelligent systems
Journal of Ambient Intelligence and Smart Environments
Online semantic mapping of urban environments
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
KnowRob: A knowledge processing infrastructure for cognition-enabled robots
International Journal of Robotics Research
Inferring robot goals from violations of semantic knowledge
Robotics and Autonomous Systems
Object search using object co-occurrence relations derived from web content mining
Intelligent Service Robotics
Knowledge-enabled decision making for robotic system utilizing ambient service components
Journal of Ambient Intelligence and Smart Environments - Ambient and Smart Component Technologies for Human Centric Computing
Hi-index | 0.00 |
Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, such as labels attached to objects and places. Although spatial information is necessary for performing basic robot operations (navigation and localization), the use of deeper domain knowledge is pivotal to endow a robot with higher degrees of autonomy and intelligence. In this paper, we focus on semantic knowledge, and show how this type of knowledge can be profitably used for robot task planning. We start by defining a specific type of semantic maps, which integrates hierarchical spatial information and semantic knowledge. We then proceed to describe how these semantic maps can improve task planning in two ways: extending the capabilities of the planner by reasoning about semantic information, and improving the planning efficiency in large domains. We show several experiments that demonstrate the effectiveness of our solutions in a domain involving robot navigation in a domestic environment.