Representing and acquiring geographic knowledge
Representing and acquiring geographic knowledge
Cognitive maps for mobile robots: a representation for mapping and navigation
Cognitive maps for mobile robots: a representation for mapping and navigation
Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
The spatial semantic hierarchy
Artificial Intelligence
Introduction to Algorithms
Spatial Cognition and Computation
Exploring artificial intelligence in the new millennium
Introduction to Autonomous Mobile Robots
Introduction to Autonomous Mobile Robots
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Spatial language for human-robot dialogs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual door detection integrating appearance and shape cues
Robotics and Autonomous Systems
Bayesian space conceptualization and place classification for semantic maps in mobile robotics
Robotics and Autonomous Systems
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Towards 3D Point cloud based object maps for household environments
Robotics and Autonomous Systems
Robot task planning using semantic maps
Robotics and Autonomous Systems
Leaving Flatland: Realtime 3D Stereo Semantic Reconstruction
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
A simple modelling of complex environments for mobile robots
International Journal of Intelligent Systems Technologies and Applications
Object-based Place Recognition for Mobile Robots Using Panoramas
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Vision-based global localization for mobile robots with hybrid maps of objects and spatial layouts
Information Sciences: an International Journal
Evaluation of the SIFT Object Recognition Method in Mobile Robots
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Evaluation of the SIFT Object Recognition Method in Mobile Robots
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Utilizing object-object and object-scene context when planning to find things
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Improving topological maps for safer and robust navigation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Coarse-to-fine global localization for mobile robots with hybrid maps of objects and spatial layouts
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Observation planning for efficient environment information summarization
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Bayesian robot localization using spatial object contexts
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A tale of two object recognition methods for mobile robots
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A hierarchical concept oriented representation for spatial cognition in mobile robots
50 years of artificial intelligence
Building virtual worlds by 3d object mapping
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
Semantic mapping with a probabilistic description logic
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Modeling environments from a route perspective
Proceedings of the 6th international conference on Human-robot interaction
Indoor scene classification using combined 3D and gist features
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Histogram of Oriented Uniform Patterns for robust place recognition and categorization
International Journal of Robotics Research
Holography map for home robot: an object-oriented approach
Intelligent Service Robotics
Hierarchical Classifiers for Robust Topological Robot Localization
Journal of Intelligent and Robotic Systems
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
Journal of Intelligent and Robotic Systems
Bubble space and place representation in topological maps
International Journal of Robotics Research
Inferring robot goals from violations of semantic knowledge
Robotics and Autonomous Systems
Integrating multiple viewpoints for articulated scene model aquisition
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Learning spatially semantic representations for cognitive robot navigation
Robotics and Autonomous Systems
Plane-based object categorisation using relational learning
Machine Learning
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Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret and represent the environment in an efficient and consistent fashion, in a way that is comprehensible to humans. The work presented here is oriented in this direction. It suggests a hierarchical probabilistic representation of space that is based on objects. A global topological representation of places with object graphs serving as local maps is proposed. The work also details the first efforts towards conceptualizing space on the basis of the human compatible representation so formed. Such a representation and the resulting conceptualization would be useful for enabling robots to be cognizant of their surroundings. Experiments on place classification and place recognition are reported in order to demonstrate the applicability of such a representation towards understanding space and thereby performing spatial cognition. Further, relevant results from user studies validating the proposed representation are also reported. Thus, the theme of the work is - representation for spatial cognition.