What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Robot
Anthony Stentz mainly investigates Robot, Mobile robot, Artificial intelligence, Motion planning and Distributed computing.
The study incorporates disciplines such as Human–computer interaction, Adaptation, Real-time computing and Task in addition to Robot.
The concepts of his Mobile robot study are interwoven with issues in Grid and Simulation.
His studies deal with areas such as Knowledge management, Key and Computer vision as well as Artificial intelligence.
The various areas that he examines in his Motion planning study include Domain, Systems engineering and Mathematical optimization, Floorplan.
His Distributed computing research integrates issues from Exploit and Control.
His most cited work include:
- Autonomous driving in urban environments: Boss and the Urban Challenge (1101 citations)
- Optimal and efficient path planning for partially-known environments (972 citations)
- The focussed D* algorithm for real-time replanning (723 citations)
What are the main themes of his work throughout his whole career to date?
Anthony Stentz mostly deals with Artificial intelligence, Robot, Mobile robot, Computer vision and Motion planning.
His Artificial intelligence research incorporates themes from Machine learning and Position.
His Robot research includes elements of Real-time computing, Task, Distributed computing and Human–computer interaction.
His Mobile robot research is multidisciplinary, incorporating elements of Control engineering and Simulation.
In the field of Computer vision, his study on Motion overlaps with subjects such as Directional sound and Range.
His research investigates the connection between Motion planning and topics such as Mathematical optimization that intersect with problems in Probabilistic logic.
He most often published in these fields:
- Artificial intelligence (53.68%)
- Robot (47.79%)
- Mobile robot (30.88%)
What were the highlights of his more recent work (between 2010-2017)?
- Artificial intelligence (53.68%)
- Robot (47.79%)
- Computer vision (26.10%)
In recent papers he was focusing on the following fields of study:
Anthony Stentz spends much of his time researching Artificial intelligence, Robot, Computer vision, Mobile robot and Robotics.
Anthony Stentz combines subjects such as Machine learning and Cognitive architecture with his study of Artificial intelligence.
Anthony Stentz has researched Robot in several fields, including Natural language and Human–computer interaction.
His research integrates issues of Monte Carlo localization and GPS/INS in his study of Computer vision.
Anthony Stentz has included themes like Change detection, Feature extraction and Distributed computing in his Mobile robot study.
His Robotics research is multidisciplinary, incorporating perspectives in Combinatorial optimization, Management science and Parallels.
Between 2010 and 2017, his most popular works were:
- A comprehensive taxonomy for multi-robot task allocation (257 citations)
- CHIMP, the CMU Highly Intelligent Mobile Platform (83 citations)
- Perceiving, learning, and exploiting object affordances for autonomous pile manipulation (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer vision
His primary areas of study are Artificial intelligence, Robot, Computer vision, Object and Robotics.
His Human–robot interaction, Semantic property, Semantics and Question answering study in the realm of Artificial intelligence connects with subjects such as Universal Networking Language.
Mobile robot and Motion planning are the core of his Robot study.
His Motion planning research is multidisciplinary, incorporating perspectives in Active learning, Machine learning and Distributed computing.
His study in the field of Feature extraction and Image is also linked to topics like Reinforcement and Clutter.
His work deals with themes such as Workspace, Management science, Combinatorial optimization and Parallels, which intersect with Robotics.
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