H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 7,881 184 World Ranking 7036 National Ranking 408

Research.com Recognitions

Awards & Achievements

2013 - Fellow of the Royal Society of Edinburgh

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Sethu Vijayakumar mostly deals with Artificial intelligence, Humanoid robot, Control theory, Machine learning and Robot. The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. His Humanoid robot study integrates concerns from other disciplines, such as Control system, Robot kinematics, Motion planning and Robot vision.

His biological study spans a wide range of topics, including Control engineering and Impedance control. Sethu Vijayakumar has researched Machine learning in several fields, including MATLAB and Task. His Robot research incorporates elements of Artificial neural network, Adaptive control and Pooling.

His most cited work include:

  • Incremental Online Learning in High Dimensions (468 citations)
  • From Animals to Animats (310 citations)
  • Natural actor-critic (299 citations)

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

His primary areas of investigation include Artificial intelligence, Robot, Control theory, Machine learning and Robotics. His studies in Artificial intelligence integrate themes in fields like Task, Computer vision and Pattern recognition. His studies deal with areas such as Control engineering, Control theory, Stiffness and Trajectory as well as Robot.

His study in Machine learning is interdisciplinary in nature, drawing from both Robot learning, Probabilistic logic and Bayesian probability. His Robotics study incorporates themes from Automation and Systems engineering. Humanoid robot is often connected to Motion planning in his work.

He most often published in these fields:

  • Artificial intelligence (48.38%)
  • Robot (24.59%)
  • Control theory (17.57%)

What were the highlights of his more recent work (between 2018-2021)?

  • Robot (24.59%)
  • Control theory (17.57%)
  • Control theory (6.49%)

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

His scientific interests lie mostly in Robot, Control theory, Control theory, Trajectory optimization and Artificial intelligence. Sethu Vijayakumar combines subjects such as Control engineering, Control, Task analysis and Trajectory with his study of Robot. His Control theory research integrates issues from Motion and Model predictive control.

His Control theory research incorporates themes from Electrical impedance, Obstacle and Robot kinematics. His Trajectory optimization study also includes

  • Robot manipulator which intersects with area such as Transmission,
  • Discretization which is related to area like Inverse dynamics and Discrete time and continuous time,
  • Metric which connect with Benchmark, Stability and Maximization. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Task and Computer vision.

Between 2018 and 2021, his most popular works were:

  • Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control (33 citations)
  • EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control (14 citations)
  • Online Optimal Impedance Planning for Legged Robots (11 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

Sethu Vijayakumar spends much of his time researching Robot, Control theory, Trajectory optimization, Motion planning and Control theory. His studies deal with areas such as Passivity and Task, Task analysis as well as Robot. Sethu Vijayakumar combines subjects such as Distributed computing, Online adaptation, Human–computer interaction, Artificial intelligence and Robot kinematics with his study of Task analysis.

His research integrates issues of Solver and Flexibility in his study of Artificial intelligence. His Trajectory optimization research includes themes of Gait, Gait and Machine learning, Selection. The concepts of his Control theory study are interwoven with issues in Electrical impedance, Impedance control, Obstacle and Stiffness.

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

Natural actor-critic

Jan Peters;Sethu Vijayakumar;Stefan Schaal.
european conference on machine learning (2005)

971 Citations

Incremental Online Learning in High Dimensions

Sethu Vijayakumar;Aaron D'souza;Stefan Schaal.
Neural Computation (2005)

633 Citations

From Animals to Animats

S. Schaal;A.J. Ijspeert;A Billard;S. Vijayakumar.
simulation of adaptive behavior (2004)

479 Citations

Reinforcement Learning for Humanoid Robotics

J. Peters;Sethu Vijayakumar;S. Schaal.
ieee ras international conference on humanoid robots (2003)

435 Citations

Locally Weighted Projection Regression : An O(n) Algorithm for Incremental Real Time Learning in High Dimensional Space

Sethu Vijayakumar;Stefan Schaal.
(2000)

433 Citations

Learning inverse kinematics

A. D'Souza;S. Vijayakumar;S. Schaal.
intelligent robots and systems (2001)

350 Citations

Using humanoid robots to study human behavior

C.G. Atkeson;J.G. Hale;F. Pollick;M. Riley.
IEEE Intelligent Systems & Their Applications (2000)

329 Citations

Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning

Stefan Schaal;Christopher G. Atkeson;Sethu Vijayakumar.
Applied Intelligence (2002)

262 Citations

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference

Konrad Rawlik;Marc Toussaint;Sethu Vijayakumar.
robotics science and systems (2012)

229 Citations

The role of feed-forward and feedback processes for closed-loop prosthesis control

Ian Saunders;Sethu Vijayakumar.
Journal of Neuroengineering and Rehabilitation (2011)

177 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

Top Scientists Citing Sethu Vijayakumar

Jan Peters

Jan Peters

TU Darmstadt

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University of Southern California

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New York University

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École Polytechnique Fédérale de Lausanne

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Jochen J. Steil

Jochen J. Steil

Technische Universität Braunschweig

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Darwin G. Caldwell

Darwin G. Caldwell

Italian Institute of Technology

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Dario Farina

Dario Farina

Imperial College London

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Jun Morimoto

Jun Morimoto

Kyoto University

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Giulio Sandini

Giulio Sandini

Italian Institute of Technology

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Auke Jan Ijspeert

Auke Jan Ijspeert

École Polytechnique Fédérale de Lausanne

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Alin Albu-Schaffer

Alin Albu-Schaffer

German Aerospace Center

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Giorgio Metta

Giorgio Metta

Italian Institute of Technology

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