Artificial intelligence and robotics
Artificial Intelligence - Lecture notes in computer science 178
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
Temporal reasoning based on semi-intervals
Artificial Intelligence
Artificial Intelligence - Special volume on constraint-based reasoning
A symbolic approach to qualitative kinematics
Artificial Intelligence
Recent advances in qualitative physics
Recent advances in qualitative physics
A method of spatial reasoning based on qualitative trigonometry
Artificial Intelligence
Aggregation Operators
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
A qualitative approach to rigid body mechanics
A qualitative approach to rigid body mechanics
Current topics in qualitative reasoning
AI Magazine
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Concepts and fuzzy models for behavior-based robotics
International Journal of Approximate Reasoning
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hierarchical aggregation functions generated from belief structures
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Quantitative weights and aggregation
IEEE Transactions on Fuzzy Systems
Characterization of the ordered weighted averaging operators
IEEE Transactions on Fuzzy Systems
Fuzzy qualitative trigonometry
International Journal of Approximate Reasoning
An extended fuzzy logic system for uncertainty modelling
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Fuzzy uncertainty modeling for grid based localization of mobile robots
International Journal of Approximate Reasoning
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This paper proposes a qualitative representation for robot kinematics in order to close the gap, raised by the perception-action problem, with a focus on intelligent connection of qualitative states to their corresponding numeric data in a robotic system. First, qualitative geometric primitives are introduced by combining a qualitative orientation component and qualitative translation component using normalisation techniques. A position in Cartesian space can be mathematically described by the scalable primitives. Secondly, qualitative robot kinematics of an n-link planar robot is derived in terms of the qualitative geometry primitives. Finally, it shows how to connect quantitativeness and qualitativeness of a robotic system. On the one hand, the integration of normalisation and domain knowledge generates normalised labels to introduce the meaningful parameters into the proposed representation. On the other hand, the normalised labels of this representation can be converted to a quantitative description using aggregation operators, whose numeric outputs can be used to generate desired trajectories based on mature interpolation techniques.