2012 - Fellow of the American Association for the Advancement of Science (AAAS)
His primary areas of investigation include Artificial intelligence, Robot, Structure, Cognitive map and Machine learning. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Theoretical computer science and Set. His studies deal with areas such as Measure, Perception and Computer vision as well as Robot.
Benjamin Kuipers has included themes like Current, Set, Contradiction and Hierarchy in his Structure study. He has researched Cognitive map in several fields, including Spatial knowledge, Space, Observer and Topological map. His Machine learning research focuses on Body of knowledge and how it connects with Knowledge-based systems, Legal expert system, Cognitive model and Domain.
Artificial intelligence, Robot, Mobile robot, Human–computer interaction and Cognitive map are his primary areas of study. Benjamin Kuipers works in the field of Artificial intelligence, focusing on Qualitative reasoning in particular. Benjamin Kuipers combines subjects such as Object and Reinforcement learning with his study of Robot.
While the research belongs to areas of Mobile robot, Benjamin Kuipers spends his time largely on the problem of Motion planning, intersecting his research to questions surrounding Mathematical optimization. He interconnects Space and Hierarchy in the investigation of issues within Cognitive map. His work carried out in the field of Structure brings together such families of science as Representation and Set.
Benjamin Kuipers spends much of his time researching Artificial intelligence, Robot, Human–computer interaction, Mobile robot and Motion planning. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. His research integrates issues of Imitation and Action in his study of Robot.
His Human–computer interaction study combines topics in areas such as Markov decision process, Feature learning and Embodied cognition. His biological study spans a wide range of topics, including Simulation and Control theory. His Semantics research is multidisciplinary, incorporating elements of Class, Cognitive map and Set.
His main research concerns Artificial intelligence, Robot, Mobile robot, Motion planning and Human–computer interaction. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Set. Benjamin Kuipers regularly ties together related areas like Plan in his Robot studies.
He combines subjects such as Lidar, Tracking and Noise with his study of Mobile robot. His study in Motion planning is interdisciplinary in nature, drawing from both Video tracking, Specular reflection and Normative. His Human–computer interaction study incorporates themes from Legibility, Wheelchair, Norm and Topological map.
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A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations
Benjamin Kuipers;Yung-Tai Byun.
Toward learning robots (1993)
Modeling Spatial Knowledge
Benjamin J. Kuipers.
Cognitive Science (1978)
Computer Power and Human Reason
Benjamin Kuipers;John McCarthy;Joseph Weizenbaum.
The spatial semantic hierarchy
Artificial Intelligence (2000)
Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge
Commonsense reasoning about causality: deriving behavior from structure
Artificial Intelligence (1984)
A Description of Think Aloud Method and Protocol Analysis
Marsha E. Fonteyn;Benjamin Kuipers;Susan J. Grobe.
Qualitative Health Research (1993)
Recognizing human actions by attributes
Jingen Liu;Benjamin Kuipers;Silvio Savarese.
computer vision and pattern recognition (2011)
The `Map in the Head' metaphor
Benjamin J. Kuipers.
Environment and Behavior (1982)
Navigation and mapping in large-scale space
Ai Magazine (1988)
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