H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 57 Citations 12,121 119 World Ranking 687 National Ranking 340
Computer Science H-index 56 Citations 21,534 134 World Ranking 1975 National Ranking 1084

Research.com Recognitions

Awards & Achievements

1989 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Christopher G. Atkeson mainly investigates Artificial intelligence, Robot, Robot learning, Machine learning and Robot control. His study in the field of Reinforcement learning and Proactive learning is also linked to topics like Multi-task learning and Construct. The Robot study combines topics in areas such as Control engineering, Adaptive control and Trajectory.

His Control engineering research includes themes of Robotics and Control theory. In his study, which falls under the umbrella issue of Machine learning, Error-driven learning is strongly linked to Human–computer interaction. His Robot control research incorporates elements of Kinematics and Robot kinematics.

His most cited work include:

  • Locally Weighted Learning (1587 citations)
  • Cyberguide: a mobile context-aware tour guide (1432 citations)
  • The Aware Home: A Living Laboratory for Ubiquitous Computing Research (913 citations)

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

Artificial intelligence, Robot, Control theory, Humanoid robot and Trajectory are his primary areas of study. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Computer vision. His studies deal with areas such as Control engineering, Artificial neural network, Simulation and Human–computer interaction as well as Robot.

His work investigates the relationship between Control theory and topics such as Dynamic programming that intersect with problems in Bellman equation and Control. While the research belongs to areas of Humanoid robot, Christopher G. Atkeson spends his time largely on the problem of Kinematics, intersecting his research to questions surrounding Robot kinematics. His research integrates issues of Active learning and Local regression in his study of Robot learning.

He most often published in these fields:

  • Artificial intelligence (51.61%)
  • Robot (38.25%)
  • Control theory (24.42%)

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

  • Artificial intelligence (51.61%)
  • Robot (38.25%)
  • Robotics (12.90%)

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

Artificial intelligence, Robot, Robotics, Control engineering and Humanoid robot are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Human–computer interaction and Computer vision. His Robot research is multidisciplinary, relying on both Hidden Markov model, Control theory, Simulation and Inverse dynamics.

His research in Simulation intersects with topics in Torque and Trajectory. His research investigates the connection between Robotics and topics such as Automation that intersect with problems in Engineering management. His Humanoid robot research incorporates themes from Kinematics, Geometric modeling, Control theory, Robot control and Robot kinematics.

Between 2013 and 2021, his most popular works were:

  • Human-in-the-loop optimization of exoskeleton assistance during walking. (251 citations)
  • Optimization-based Full Body Control for the DARPA Robotics Challenge (159 citations)
  • Combining finger vision and optical tactile sensing: Reducing and handling errors while cutting vegetables (76 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Artificial intelligence, Robot, Simulation, Robotics and Humanoid robot. The various areas that he examines in his Artificial intelligence study include Differential dynamic programming, Computer vision and Nonlinear system. His Robot study incorporates themes from Histogram and Control theory.

His Simulation study combines topics from a wide range of disciplines, such as Control engineering and Torque. His Robotics research includes elements of Computer security and Heuristics. His Humanoid robot research is multidisciplinary, incorporating elements of Robot control and Human–computer interaction.

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

Locally weighted learning for control

Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal.
Artificial Intelligence Review (1997)

2450 Citations

Cyberguide: a mobile context-aware tour guide

Gregory D. Abowd;Christopher G. Atkeson;Jason Hong;Sue Long.
Wireless Networks (1997)

2244 Citations

Locally Weighted Learning

Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal.
Artificial Intelligence Review (1997)

2221 Citations

The Aware Home: A Living Laboratory for Ubiquitous Computing Research

Cory D. Kidd;Robert Orr;Gregory D. Abowd;Christopher G. Atkeson.
Lecture Notes in Computer Science (1999)

1502 Citations

Kinematic features of unrestrained vertical arm movements

CG Atkeson;JM Hollerbach.
The Journal of Neuroscience (1985)

1132 Citations

Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time

Andrew W. Moore;Christopher G. Atkeson.
Machine Learning (1993)

1091 Citations

Model-Based Control of a Robot Manipulator

Chae H. An;Christopher G. Atkeson;John M. Hollerbach.
(1988)

749 Citations

Constructive incremental learning from only local information

Stefan Schaal;Christopher G. Atkeson.
Neural Computation (1998)

698 Citations

Robot Learning From Demonstration

Christopher G. Atkeson;Stefan Schaal.
international conference on machine learning (1997)

697 Citations

Estimation of inertial parameters of manipulator loads and links

C G Atkeson;C H An;J M Hollerbach.
The International Journal of Robotics Research (1986)

553 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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Contact us

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