H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 64 Citations 19,653 197 World Ranking 1193 National Ranking 699

Overview

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.

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.

Top Publications

Autonomous driving in urban environments: Boss and the Urban Challenge

Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker.
Journal of Field Robotics (2008)

1672 Citations

Optimal and efficient path planning for partially-known environments

A. Stentz.
international conference on robotics and automation (1994)

1419 Citations

The focussed D* algorithm for real-time replanning

Anthony Stentz.
international joint conference on artificial intelligence (1995)

1345 Citations

Market-Based Multirobot Coordination: A Survey and Analysis

M.B. Dias;R. Zlot;N. Kalra;A. Stentz.
Proceedings of the IEEE (2006)

1044 Citations

Multi-robot exploration controlled by a market economy

R. Zlot;A. Stentz;M.B. Dias;S. Thayer.
international conference on robotics and automation (2002)

719 Citations

Anytime dynamic A*: an anytime, replanning algorithm

Maxim Likhachev;Dave Ferguson;Geoff Gordon;Anthony Stentz.
international conference on automated planning and scheduling (2005)

686 Citations

Optimal and Efficient Path Planning for Unknown and Dynamic Environments

Anthony Stentz.
(1993)

374 Citations

A comprehensive taxonomy for multi-robot task allocation

G. Ayorkor Korsah;Anthony Stentz;M. Bernardine Dias.
The International Journal of Robotics Research (2013)

369 Citations

Using interpolation to improve path planning: The Field D* algorithm

Dave Ferguson;Anthony Stentz.
Journal of Field Robotics (2006)

361 Citations

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)

345 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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