D-Index & Metrics Best Publications

D-Index & Metrics

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
Computer Science D-index 51 Citations 9,886 247 World Ranking 2753 National Ranking 124
Mechanical and Aerospace Engineering D-index 38 Citations 7,035 149 World Ranking 634 National Ranking 22

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Tamim Asfour focuses on Artificial intelligence, Humanoid robot, Robot, Computer vision and GRASP. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Machine learning. His Humanoid robot research is multidisciplinary, incorporating elements of Inverse kinematics, Human–computer interaction, Robot control, Simulation and Robot end effector.

His study on Motion control is often connected to Generalization as part of broader study in Robot. His study in Computer vision is interdisciplinary in nature, drawing from both Representation, Robot kinematics, Mobile robot and Actuator. Tamim Asfour combines subjects such as Ranking and Cognitive neuroscience of visual object recognition with his study of GRASP.

His most cited work include:

  • Learning and generalization of motor skills by learning from demonstration (502 citations)
  • Data-Driven Grasp Synthesis—A Survey (465 citations)
  • ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control (326 citations)

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

Tamim Asfour mainly focuses on Artificial intelligence, Humanoid robot, Computer vision, Robot and Human–computer interaction. Artificial intelligence is closely attributed to GRASP in his work. His Humanoid robot study incorporates themes from Motion planning, Task, Robot control, Social robot and Simulation.

His work investigates the relationship between Computer vision and topics such as Inverse kinematics that intersect with problems in Workspace. He regularly ties together related areas like Trajectory in his Robot studies. His research integrates issues of Representation and Haptic technology in his study of Object.

He most often published in these fields:

  • Artificial intelligence (64.69%)
  • Humanoid robot (54.60%)
  • Computer vision (41.84%)

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

  • Artificial intelligence (64.69%)
  • Robot (40.95%)
  • Humanoid robot (54.60%)

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

Tamim Asfour mainly investigates Artificial intelligence, Robot, Humanoid robot, Human–computer interaction and Computer vision. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and GRASP. His studies deal with areas such as Representation, Task, Probabilistic logic, Adaptation and Set as well as Robot.

His Humanoid robot research is multidisciplinary, relying on both Torque, Human-body model, Joint and Component. His work carried out in the field of Human–computer interaction brings together such families of science as Active vision, Software framework, Software architecture and Software development process. His Computer vision research incorporates themes from Visual perception, Double threshold and Convolutional neural network.

Between 2018 and 2021, his most popular works were:

  • ARMAR-6: A High-Performance Humanoid for Human-Robot Collaboration in Real-World Scenarios (9 citations)
  • I-Support: A robotic platform of an assistive bathing robot for the elderly population (7 citations)
  • ROBDEKON: Robotic Systems for Decontamination in Hazardous Environments (7 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Robot, Artificial intelligence, Humanoid robot, Human–computer interaction and Computer vision are his primary areas of study. His Robot research is multidisciplinary, incorporating perspectives in Task, Task analysis, Adaptation, Set and Entropy. His Artificial intelligence study frequently draws connections between related disciplines such as GRASP.

The Humanoid robot study combines topics in areas such as Object and Component. Tamim Asfour has researched Human–computer interaction in several fields, including Software architecture, Software framework, Human–robot interaction and Software development process. When carried out as part of a general Computer vision research project, his work on Ground truth is frequently linked to work in Pressure sensor, 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

Data-Driven Grasp Synthesis—A Survey

Jeannette Bohg;Antonio Morales;Tamim Asfour;Danica Kragic.
IEEE Transactions on Robotics (2014)

705 Citations

Learning and generalization of motor skills by learning from demonstration

Peter Pastor;Heiko Hoffmann;Tamim Asfour;Stefan Schaal.
international conference on robotics and automation (2009)

695 Citations

ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control

T. Asfour;K. Regenstein;P. Azad;J. Schroder.
ieee-ras international conference on humanoid robots (2006)

465 Citations

Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives

Aleš Ude;Andrej Gams;Tamim Asfour;Jun Morimoto.
IEEE Transactions on Robotics (2010)

363 Citations

Design of the TUAT/Karlsruhe humanoid hand

N. Fukaya;S. Toyama;T. Asfour;R. Dillmann.
intelligent robots and systems (2000)

311 Citations

Manipulation Planning Among Movable Obstacles

M. Stilman;J.-U. Schamburek;J. Kuffner;T. Asfour.
international conference on robotics and automation (2007)

219 Citations

Parameter Space Noise for Exploration

Matthias Plappert;Rein Houthooft;Prafulla Dhariwal;Szymon Sidor.
arXiv: Learning (2017)

216 Citations

An integrated approach to inverse kinematics and path planning for redundant manipulators

D. Bertram;J. Kuffner;R. Dillmann;T. Asfour.
international conference on robotics and automation (2006)

213 Citations

Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots

T. Asfour;F. Gyarfas;P. Azad;R. Dillmann.
ieee-ras international conference on humanoid robots (2006)

212 Citations

Humanoid motion planning for dual-arm manipulation and re-grasping tasks

Nikolaus Vahrenkamp;Dmitry Berenson;Tamim Asfour;James Kuffner.
intelligent robots and systems (2009)

196 Citations

Best Scientists Citing Tamim Asfour

Danica Kragic

Danica Kragic

Royal Institute of Technology

Publications: 97

Ales Ude

Ales Ude

Jožef Stefan Institute

Publications: 80

Jan Peters

Jan Peters

TU Darmstadt

Publications: 65

Sergey Levine

Sergey Levine

University of California, Berkeley

Publications: 59

Michael Beetz

Michael Beetz

University of Bremen

Publications: 42

Florentin Wörgötter

Florentin Wörgötter

University of Göttingen

Publications: 40

Justus Piater

Justus Piater

University of Innsbruck

Publications: 38

Aude Billard

Aude Billard

École Polytechnique Fédérale de Lausanne

Publications: 38

Stefan Schaal

Stefan Schaal

University of Southern California

Publications: 36

Pieter Abbeel

Pieter Abbeel

University of California, Berkeley

Publications: 35

Gordon Cheng

Gordon Cheng

Technical University of Munich

Publications: 33

Siddhartha S. Srinivasa

Siddhartha S. Srinivasa

University of Washington

Publications: 31

Norbert Krüger

Norbert Krüger

University of Southern Denmark

Publications: 31

Carme Torras

Carme Torras

Spanish National Research Council

Publications: 26

Kensuke Harada

Kensuke Harada

Osaka University

Publications: 26

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

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

Contact us
Something went wrong. Please try again later.