World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
15000
World Ranking
2906
National Ranking
133

Mechanical and Aerospace Engineering

D-Index
61
Citations
14183
World Ranking
644
National Ranking
19

Overview

Tamim Asfour is affiliated with the Karlsruhe Institute of Technology in Germany and has a research profile encompassing multiple fields and topics within engineering and computer science. Their work intersects various subfields such as control and systems engineering, biomedical engineering, artificial intelligence, computer vision and pattern recognition, and mechanical engineering.

The main fields of study in Tamim Asfour's publications include:

  • Engineering
  • Computer Science

Within these, the scientist has focused on subfields, including:

  • Control and Systems Engineering
  • Biomedical Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering

The primary topics of research covered are:

  • Robot Manipulation and Learning
  • Human Pose and Action Recognition
  • Reinforcement Learning in Robotics
  • Muscle activation and electromyography studies
  • Prosthetics and Rehabilitation Robotics
  • Robotic Locomotion and Control
  • Multimodal Machine Learning Applications

Tamim Asfour's publication record includes recent papers such as:

  • Deep Learning Approaches to Grasp Synthesis: A Review, 2023, IEEE Transactions on Robotics
  • SpeedFolding: Learning Efficient Bimanual Folding of Garments, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • I-Support: A robotic platform of an assistive bathing robot for the elderly population, 2020, Robotics and Autonomous Systems
  • Mechanical design and friction modelling of a cable-driven upper-limb exoskeleton, 2022, Mechanism and Machine Theory
  • A Bimanual Manipulation Taxonomy, 2022, IEEE Robotics and Automation Letters

The scientist regularly publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • at - Automatisierungstechnik
  • Robotics and Autonomous Systems

Co-authors frequently collaborating with Tamim Asfour include:

  • Noémie Jaquier
  • Jianfeng Gao
  • Christian Dreher
  • Fabian Peller-Konrad
  • Rainer Kartmann

Tamim Asfour has contributed to book publications as well, including at least one title published by Springer International Publishing:

  • Robotics Research, 2023

Best Publications

  • Data-Driven Grasp Synthesis—A Survey

    Jeannette Bohg;Antonio Morales;Tamim Asfour;Danica Kragic

  • Learning and generalization of motor skills by learning from demonstration

    Peter Pastor;Heiko Hoffmann;Tamim Asfour;Stefan Schaal

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

    T. Asfour;K. Regenstein;P. Azad;J. Schroder

  • Parameter Space Noise for Exploration

    Matthias Plappert;Rein Houthooft;Prafulla Dhariwal;Szymon Sidor

  • Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives

    Aleš Ude;Andrej Gams;Tamim Asfour;Jun Morimoto

  • Design of the TUAT/Karlsruhe humanoid hand

    N. Fukaya;S. Toyama;T. Asfour;R. Dillmann

  • The KIT Motion-Language Dataset

    Matthias Plappert;Christian Mandery;Tamim Asfour

  • Manipulation Planning Among Movable Obstacles

    M. Stilman;J.-U. Schamburek;J. Kuffner;T. Asfour

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

    D. Bertram;J. Kuffner;R. Dillmann;T. Asfour

  • Deep Learning Approaches to Grasp Synthesis: A Review

    Unknown

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

    Nikolaus Vahrenkamp;Dmitry Berenson;Tamim Asfour;James Kuffner

  • Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots

    Tamim Asfour;Florian Gyarfas;Pedram Azad;Rudiger Dillmann

  • Human-like motion of a humanoid robot arm based on a closed-form solution of the inverse kinematics problem

    T. Asfour;R. Dillmann

  • The KIT whole-body human motion database

    Christian Mandery;Omer Terlemez;Martin Do;Nikolaus Vahrenkamp

  • Object-action complexes: Grounded abstractions of sensory-motor processes

    Norbert Krüger;Christopher W. Geib;Justus H. Piater;Ronald P. A. Petrick

  • Combining Harris interest points and the SIFT descriptor for fast scale-invariant object recognition

    Pedram Azad;Tamim Asfour;Rudiger Dillmann

  • Model-Based Reinforcement Learning via Meta-Policy Optimization

    Ignasi Clavera;Jonas Rothfuss;John Schulman;Yasuhiro Fujita

  • Programming by demonstration: dual-arm manipulation tasks for humanoid robots

    R. Zollner;T. Asfour;R. Dillmann

  • Robot placement based on reachability inversion

    Nikolaus Vahrenkamp;Tamim Asfour;Rudiger Dillmann

  • OpenGRASP: a toolkit for robot grasping simulation

    Beatriz León;Stefan Ulbrich;Rosen Diankov;Gustavo Puche

  • Toward humanoid manipulation in human-centred environments

    T. Asfour;P. Azad;N. Vahrenkamp;K. Regenstein

  • Learning of grasp selection based on shape-templates

    Alexander Herzog;Peter Pastor;Mrinal Kalakrishnan;Ludovic Righetti

Frequent Co-Authors

Rüdiger Dillmann
Rüdiger Dillmann Center for Information Technology
Ales Ude
Ales Ude Jožef Stefan Institute
Uwe D. Hanebeck
Uwe D. Hanebeck Karlsruhe Institute of Technology
Norbert Krüger
Norbert Krüger University of Southern Denmark
Danica Kragic
Danica Kragic Royal Institute of Technology
Florentin Wörgötter
Florentin Wörgötter University of Göttingen
Justus Piater
Justus Piater University of Innsbruck
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Jeannette Bohg
Jeannette Bohg Stanford University
Mark Steedman
Mark Steedman University of Edinburgh

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