World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5745
World Ranking
10288
National Ranking
516

Overview

Jochen J. Steil is affiliated with Technische Universität Braunschweig in Germany and has a research profile primarily focused on engineering and computer science. Their work spans multiple subfields including artificial intelligence, control and systems engineering, biomedical engineering, social psychology, and safety research.

The scientist's research covers a range of topics, with prominent focuses on:

  • Robot Manipulation and Learning
  • Soft Robotics and Applications
  • Prosthetics and Rehabilitation Robotics
  • Muscle Activation and Electromyography Studies
  • Ethics and Social Impacts of AI
  • Reinforcement Learning in Robotics
  • Machine Learning and Algorithms

Jochen J. Steil has published extensively in these areas, contributing to journals and conferences such as:

  • IEEE Transactions on Cognitive and Developmental Systems
  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Human Factors The Journal of the Human Factors and Ergonomics Society
  • IEEE Transactions on Medical Robotics and Bionics

Several recent papers illustrate the breadth of their work. These include:

  • "Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work" (2020) published in Human Factors The Journal of the Human Factors and Ergonomics Society
  • "Estimating Tip Contact Forces for Concentric Tube Continuum Robots Based on Backbone Deflection" (2020) published in IEEE Transactions on Medical Robotics and Bionics
  • "Enabling impedance-based physical human-multi-robot collaboration: Experiments with four torque-controlled manipulators" (2021) published in The International Journal of Robotics Research
  • "Efficient Online Interest-Driven Exploration for Developmental Robots" (2020) published in IEEE Transactions on Cognitive and Developmental Systems
  • "Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor" (2021) published in Frontiers in Robotics and AI

Frequent collaborators in their research include:

  • Niels Dehio
  • Heiko Donat
  • Christian Scheurer
  • Rania Rayyes
  • Julian Richter

Best Publications

  • Backpropagation-decorrelation: online recurrent learning with O(N) complexity

    J.J. Steil

  • Improving reservoirs using intrinsic plasticity

    Benjamin Schrauwen;Marion Wardermann;David Verstraeten;Jochen J. Steil

  • 2007 Special Issue: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning

    Jochen J. Steil

  • Goal Babbling Permits Direct Learning of Inverse Kinematics

    M Rolf;J J Steil;M Gienger

  • Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk

    Matthias Rolf;Jochen J. Steil

  • Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand

    F. Rothling;R. Haschke;J.J. Steil;H. Ritter

  • Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant

    Matthias Rolf;Jochen J. Steil

  • Task-level imitation learning using variance-based movement optimization

    Manuel Muhlig;Michael Gienger;Sven Hellbach;Jochen J. Steil

  • Multi-modal human-machine communication for instructing robot grasping tasks

    P. McGuire;J. Fritsch;J.J. Steil;F. Rothling

  • Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention

    Marco Wischnewski;Anna Belardinelli;Werner X. Schneider;Jochen J. Steil

  • A Competitive-Layer Model for Feature Binding and Sensory Segmentation

    Heiko Wersing;Jochen J. Steil;Helge J. Ritter

  • A user study on kinesthetic teaching of redundant robots in task and configuration space

    Sebastian Wrede;Christian Emmerich;Ricarda Grünberg;Arne Nordmann

  • Task-oriented quality measures for dextrous grasping

    R. Haschke;J.J. Steil;I. Steuwer;H. Ritter

  • Situated robot learning for multi-modal instruction and imitation of grasping

    Jochen J. Steil;Frank Röthling;Robert Haschke;Helge J. Ritter

  • Learning robot motions with stable dynamical systems under diffeomorphic transformations

    Klaus Neumann;Jochen J. Steil

  • Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions

    Matthias Rolf;Jochen J. Steil;Michael Gienger

  • Interactive imitation learning of object movement skills

    Manuel Mühlig;Michael Gienger;Jochen J. Steil

  • The dynamic wave expansion neural network model for robot motion planning in time-varying environments

    Dmitry V. Lebedev;Jochen J. Steil;Helge J. Ritter

  • Online learning and generalization of parts-based image representations by non-negative sparse autoencoders

    Andre Lemme;René Felix Reinhart;Jochen Jakob Steil

  • Analyzing the weight dynamics of recurrent learning algorithms

    Ulf D. Schiller;Jochen J. Steil

Frequent Co-Authors

Helge Ritter
Helge Ritter Bielefeld University
Michael Gienger
Michael Gienger Honda (Japan)
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Barbara Hammer
Barbara Hammer Bielefeld University
Benjamin Schrauwen
Benjamin Schrauwen Ghent University
Gernot A. Fink
Gernot A. Fink TU Dortmund University
Stefan Kopp
Stefan Kopp Bielefeld University
Martin A. Giese
Martin A. Giese University of Tübingen
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne

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