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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker.
Journal of Field Robotics (2008)
Optimal and efficient path planning for partially-known environments
international conference on robotics and automation (1994)
The focussed D* algorithm for real-time replanning
international joint conference on artificial intelligence (1995)
Market-Based Multirobot Coordination: A Survey and Analysis
M.B. Dias;R. Zlot;N. Kalra;A. Stentz.
Proceedings of the IEEE (2006)
Multi-robot exploration controlled by a market economy
R. Zlot;A. Stentz;M.B. Dias;S. Thayer.
international conference on robotics and automation (2002)
Anytime dynamic A*: an anytime, replanning algorithm
Maxim Likhachev;Dave Ferguson;Geoff Gordon;Anthony Stentz.
international conference on automated planning and scheduling (2005)
Optimal and Efficient Path Planning for Unknown and Dynamic Environments
A comprehensive taxonomy for multi-robot task allocation
G. Ayorkor Korsah;Anthony Stentz;M. Bernardine Dias.
The International Journal of Robotics Research (2013)
Using interpolation to improve path planning: The Field D* algorithm
Dave Ferguson;Anthony Stentz.
Journal of Field Robotics (2006)
Recent progress in local and global traversability for planetary rovers
S. Singh;R. Simmons;T. Smith;A. Stentz.
international conference on robotics and automation (2000)
Profile was last updated on December 6th, 2021.
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