H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 65 Citations 14,982 273 World Ranking 1135 National Ranking 35
Electronics and Electrical Engineering D-index 59 Citations 12,612 187 World Ranking 598 National Ranking 13

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Robot

Her main research concerns Artificial intelligence, Robot, Humanoid robot, Imitation and Robot learning. She has included themes like Task and Computer vision in her Artificial intelligence study. Aude Billard interconnects Context and Human–computer interaction in the investigation of issues within Robot.

Her Humanoid robot research incorporates elements of Motion, Machine learning, Simulation and Hidden Markov model. Her biological study spans a wide range of topics, including Metric, Developmental psychology, Autism, Cognitive science and Set. Her studies deal with areas such as Reinforcement learning and Social robot as well as Robot learning.

Her most cited work include:

  • On Learning, Representing, and Generalizing a Task in a Humanoid Robot (824 citations)
  • Computational approaches to motor learning by imitation (526 citations)
  • Computational approaches to motor learning by imitation (526 citations)

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

Her primary areas of study are Artificial intelligence, Robot, Computer vision, Humanoid robot and Human–computer interaction. The Artificial intelligence study combines topics in areas such as Imitation and Task. Her research in Imitation intersects with topics in Artificial neural network, Cognitive science, Gesture and Set.

The study incorporates disciplines such as Dynamical systems theory, Control theory and Simulation in addition to Robot. The concepts of her Computer vision study are interwoven with issues in Kinematics and GRASP. Her Humanoid robot research includes elements of Developmental psychology, Autism, Machine learning and Hidden Markov model.

She most often published in these fields:

  • Artificial intelligence (58.33%)
  • Robot (43.38%)
  • Computer vision (21.08%)

What were the highlights of her more recent work (between 2016-2021)?

  • Robot (43.38%)
  • Artificial intelligence (58.33%)
  • Dynamical systems theory (10.54%)

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

Aude Billard focuses on Robot, Artificial intelligence, Dynamical systems theory, Human–computer interaction and Task. Her Robot research is multidisciplinary, relying on both Motion and Control theory. Aude Billard works on Artificial intelligence which deals in particular with Robotics.

Her research integrates issues of Dynamical system, Control engineering, Stability and Motion planning in her study of Dynamical systems theory. Her Human–computer interaction research is multidisciplinary, incorporating perspectives in Kinematics, Action, Cognition, Brain–computer interface and Adaptive control. Her studies deal with areas such as Machine learning, Deep learning and Pipeline as well as Task.

Between 2016 and 2021, her most popular works were:

  • Trends and challenges in robot manipulation (64 citations)
  • Recent Advances in Robot Learning from Demonstration (45 citations)
  • EMG-based decoding of grasp gestures in reaching-to-grasping motions (31 citations)

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

  • Artificial intelligence
  • Machine learning
  • Neuroscience

The scientist’s investigation covers issues in Robot, Artificial intelligence, Dynamical systems theory, Task and Dynamical system. Her work in Robot covers topics such as Control theory which are related to areas like Obstacle avoidance and Hull. Her research in Artificial intelligence intersects with topics in Electromyography, Computer vision and GRASP.

The Dynamical systems theory study combines topics in areas such as Stability, Motion planning and Robot manipulator. Her work carried out in the field of Task brings together such families of science as Control engineering, Machine learning, Deep learning and Handwriting. Aude Billard interconnects Point, Robot kinematics and Classical mechanics, Impact in the investigation of issues within Dynamical system.

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

On Learning, Representing, and Generalizing a Task in a Humanoid Robot

S. Calinon;F. Guenter;A. Billard.
systems man and cybernetics (2007)

1156 Citations

Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills?

B. Robins;K. Dautenhahn;Te Boekhorst;A. Billard.
Universal Access in The Information Society (2005)

773 Citations

Computational approaches to motor learning by imitation

Stefan Schaal;Auke Ijspeert;Aude Billard;Aude Billard.
Philosophical Transactions of the Royal Society B (2003)

725 Citations

Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models

S. M. Khansari-Zadeh;A. Billard.
IEEE Transactions on Robotics (2011)

560 Citations

From Animals to Animats

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

479 Citations

Learning and Reproduction of Gestures by Imitation

Sylvain Calinon;Florent D'halluin;Eric L Sauser;Darwin G Caldwell.
IEEE Robotics & Automation Magazine (2010)

454 Citations

Incremental learning of gestures by imitation in a humanoid robot

Sylvain Calinon;Aude Billard.
human-robot interaction (2007)

403 Citations

A survey of Tactile Human-Robot Interactions

Brenna D. Argall;Aude G. Billard.
Robotics and Autonomous Systems (2010)

344 Citations

Synthetic brain imaging: grasping, mirror neurons and imitation

M. A. Arbib;A. Billard;M. Iacoboni;E. Oztop.
Neural Networks (2000)

301 Citations

Learning human arm movements by imitation:: Evaluation of a biologically inspired connectionist architecture

Aude Billard;Maja J. Matarić.
Robotics and Autonomous Systems (2001)

285 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Aude Billard

Kerstin Dautenhahn

Kerstin Dautenhahn

University of Waterloo

Publications: 111

Jan Peters

Jan Peters

TU Darmstadt

Publications: 98

Yoshihiko Nakamura

Yoshihiko Nakamura

University of Tokyo

Publications: 70

Ales Ude

Ales Ude

Jožef Stefan Institute

Publications: 66

Sylvain Calinon

Sylvain Calinon

Idiap Research Institute

Publications: 63

Giorgio Metta

Giorgio Metta

Italian Institute of Technology

Publications: 58

Danica Kragic

Danica Kragic

Royal Institute of Technology

Publications: 52

Auke Jan Ijspeert

Auke Jan Ijspeert

École Polytechnique Fédérale de Lausanne

Publications: 47

Darwin G. Caldwell

Darwin G. Caldwell

Italian Institute of Technology

Publications: 47

Chrystopher L. Nehaniv

Chrystopher L. Nehaniv

University of Waterloo

Publications: 45

Maja J. Matarić

Maja J. Matarić

University of Southern California

Publications: 45

Jochen J. Steil

Jochen J. Steil

Technische Universität Braunschweig

Publications: 44

Sandra Hirche

Sandra Hirche

Technical University of Munich

Publications: 42

Gordon Cheng

Gordon Cheng

Technical University of Munich

Publications: 37

Pierre-Yves Oudeyer

Pierre-Yves Oudeyer

French Institute for Research in Computer Science and Automation - INRIA

Publications: 35

Tamim Asfour

Tamim Asfour

Karlsruhe Institute of Technology

Publications: 35

Something went wrong. Please try again later.