Cognitive maps for mobile robots-an object based approach
Robotics and Autonomous Systems
Identification of coupled map lattice models for spatio-temporal patterns using wavelets
International Journal of Systems Science
Conceptual spatial representations for indoor mobile robots
Robotics and Autonomous Systems
Bayesian space conceptualization and place classification for semantic maps in mobile robotics
Robotics and Autonomous Systems
FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
International Journal of Robotics Research
Towards semantic maps for mobile robots
Robotics and Autonomous Systems
Robot task planning using semantic maps
Robotics and Autonomous Systems
Subjective local maps for hybrid metric-topological SLAM
Robotics and Autonomous Systems
Vision-based global localization for mobile robots with hybrid maps of objects and spatial layouts
Information Sciences: an International Journal
Maximum-likelihood sample-based maps for mobile robots
Robotics and Autonomous Systems
Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy
International Journal of Robotics Research
On complementary principles of object-oriented constraint programming
Programming and Computing Software
Classification and Semantic Mapping of Urban Environments
International Journal of Robotics Research
Robotics and Autonomous Systems
Accelerating FAB-MAP with concentration inequalities
IEEE Transactions on Robotics
Pure topological mapping in mobile robotics
IEEE Transactions on Robotics
Semantic Mapping Using Mobile Robots
IEEE Transactions on Robotics
Ontology-Based Unified Robot Knowledge for Service Robots in Indoor Environments
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The environment map plays an important role in robot service, so it should contain not only appearance information about the whole service environment, but also their profoundness. The key contribution of the paper is the presentation of a novel semantic map, namely, a holography map composed of robot, family persons, operable items, local environments, as well as locations and path sections for home service robot cognizing its surroundings and providing services. Inspired by the object-oriented approach, the holography map is divided into three hierarchies of item-room-home and in detail 13 classes of objects. The design and storage of the object-oriented holography map are described comprehensively, and construction of the map is introduced. The execution of robot service based on the object-oriented holography map is discussed briefly. Experiments on real service robot demonstrate that the object-oriented holography map is nearer to human thinking and applicable to indoor robot service tasks.