D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 32 Citations 7,317 115 World Ranking 4287 National Ranking 1610

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Robotics

Alonzo Kelly mainly focuses on Motion planning, Artificial intelligence, Control engineering, Robot and Mobile robot. His Motion planning study incorporates themes from Algorithm, State, Systems engineering and Motion control. Alonzo Kelly works mostly in the field of Systems engineering, limiting it down to topics relating to System testing and, in certain cases, Layer, as a part of the same area of interest.

His study in the fields of Robotics, Odometry and Intelligent control under the domain of Artificial intelligence overlaps with other disciplines such as Inertial navigation system. His research in Control engineering intersects with topics in Simultaneous localization and mapping and Model predictive control. The Mobile robot study combines topics in areas such as Unmanned ground vehicle, Real-time computing and Nonlinear programming.

His most cited work include:

  • Autonomous driving in urban environments: Boss and the Urban Challenge (1101 citations)
  • Differentially constrained mobile robot motion planning in state lattices (275 citations)
  • Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots (260 citations)

What are the main themes of his work throughout his whole career to date?

Alonzo Kelly mainly investigates Mobile robot, Artificial intelligence, Robot, Motion planning and Control theory. His work in Mobile robot covers topics such as Simulation which are related to areas like Model predictive control. Computational complexity theory is closely connected to Computer vision in his research, which is encompassed under the umbrella topic of Artificial intelligence.

His research on Motion planning also deals with topics like

  • Mathematical optimization which connect with Computation, Lattice and Algorithm,
  • Systems engineering which connect with System testing. His work on Trajectory and Optimal control as part of general Control theory study is frequently linked to Inertial navigation system, bridging the gap between disciplines. Alonzo Kelly interconnects Nonlinear programming and Constrained optimization in the investigation of issues within Optimal control.

He most often published in these fields:

  • Mobile robot (38.28%)
  • Artificial intelligence (35.94%)
  • Robot (26.56%)

What were the highlights of his more recent work (between 2013-2021)?

  • Mobile robot (38.28%)
  • Robot (26.56%)
  • Artificial intelligence (35.94%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Mobile robot, Robot, Artificial intelligence, Simulation and Control theory. His Mobile robot study integrates concerns from other disciplines, such as Control engineering and Motion control. Alonzo Kelly interconnects Machine learning and Computer vision in the investigation of issues within Artificial intelligence.

His work carried out in the field of Simulation brings together such families of science as Data science and Trajectory. His work on Path following and Optimal control as part of general Control theory research is frequently linked to Experimental validation, bridging the gap between disciplines. His work blends Slip and Motion planning studies together.

Between 2013 and 2021, his most popular works were:

  • CHIMP, the CMU Highly Intelligent Mobile Platform (83 citations)
  • Model-Predictive Motion Planning: Several Key Developments for Autonomous Mobile Robots (62 citations)
  • Accelerated Generative Models for 3D Point Cloud Data (34 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Robotics
  • Computer vision

His primary areas of study are Robot, Artificial intelligence, Expectation–maximization algorithm, Point cloud and Control engineering. His study in Robot focuses on Motion planning in particular. His Motion planning study combines topics in areas such as Artificial neural network, Kalman filter and Simulation.

His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computational complexity theory and Human–computer interaction. The various areas that Alonzo Kelly examines in his Control engineering study include High fidelity, Vehicle dynamics and Nonlinear system. When carried out as part of a general Mobile robot research project, his work on Obstacle avoidance is frequently linked to work in Graph theory, therefore connecting diverse disciplines of study.

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.

Best Publications

Autonomous driving in urban environments: Boss and the Urban Challenge

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

2072 Citations

Differentially constrained mobile robot motion planning in state lattices

Mihail Pivtoraiko;Ross A. Knepper;Alonzo Kelly.
Journal of Field Robotics (2009)

456 Citations

Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots

Thomas M. Howard;Alonzo Kelly.
The International Journal of Robotics Research (2007)

440 Citations

Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments

Alonzo Kelly;Anthony Stentz;Omead Amidi;Mike Bode.
The International Journal of Robotics Research (2006)

311 Citations

Reactive Nonholonomic Trajectory Generation via Parametric Optimal Control

Alonzo Kelly;Bryan Nagy.
The International Journal of Robotics Research (2003)

307 Citations

Obstacle detection for unmanned ground vehicles: a progress report

L. Matthies;A. Kelly;T. Litwin;G. Tharp.
intelligent vehicles symposium (1995)

211 Citations

State space sampling of feasible motions for high-performance mobile robot navigation in complex environments

Thomas M. Howard;Colin J. Green;Alonzo Kelly;Dave Ferguson.
field and service robotics (2008)

201 Citations

Infrastructure independent position determining system

Alonzo James Kelly;Robert Craig Coulter.
(1997)

168 Citations

Linearized Error Propagation in Odometry

Alonzo Kelly.
The International Journal of Robotics Research (2004)

150 Citations

Rough Terrain Autonomous Mobility—Part 2: An Active Vision, Predictive Control Approach

Alonzo Kelly;Anthony Stentz.
Autonomous Robots (1998)

149 Citations

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