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Michael Gienger

Michael Gienger

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4638
World Ranking
8179
National Ranking
170

Overview

Michael Gienger is affiliated with Honda (Japan) and conducts research primarily in the fields of Computer Science and Engineering. Their work focuses extensively on Artificial Intelligence and Control and Systems Engineering, with additional interests including Biomedical Engineering, Computer Vision and Pattern Recognition, and Social Psychology.

The main topics addressed in their research involve Robot Manipulation and Learning, Reinforcement Learning in Robotics, Social Robot Interaction and Human-Robot Interaction (HRI), Machine Learning and Algorithms, Prosthetics and Rehabilitation Robotics, Soft Robotics and Applications, and Adversarial Robustness in Machine Learning.

They have contributed to numerous publications, with frequent papers appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • IEEE Robotics and Automation Letters
  • IEEE Robotics & Automation Magazine
  • Frontiers in Robotics and AI

Their recent papers include:

  • "Challenges and Outlook in Robotic Manipulation of Deformable Objects" (2022, IEEE Robotics & Automation Magazine)
  • "Robot Learning From Randomized Simulations: A Review" (2022, Frontiers in Robotics and AI)
  • "Online Hybrid Motion Planning for Dyadic Collaborative Manipulation via Bilevel Optimization" (2020, IEEE Transactions on Robotics)
  • "Learning Task-Parameterized Skills From Few Demonstrations" (2022, IEEE Robotics and Automation Letters)
  • "Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme" (2024, IEEE Transactions on Robotics)

Frequent co-authors collaborating with Michael Gienger include:

  • Jens Kober
  • Theodoros Stouraitis
  • Sethu Vijayakumar
  • Daniel Tanneberg
  • Anna Belardinelli

Their publication record features multiple collaborations with these colleagues, highlighting ongoing research partnerships. The volume of work across related subfields and topical areas suggests a strong multidisciplinary approach within robotics, learning, and human-robot interfaces.

Best Publications

  • Towards the design of a biped jogging robot

    M. Gienger;K. Loffler;F. Pfeiffer

  • Goal Babbling Permits Direct Learning of Inverse Kinematics

    M Rolf;J J Steil;M Gienger

  • Gaussian process implicit surfaces for shape estimation and grasping

    Stanimir Dragiev;Marc Toussaint;Michael Gienger

  • Sensor and control design of a dynamically stable biped robot

    K. Loffler;M. Gienger;F. Pfeiffer

  • Sensors and control concept of a biped robot

    K. Loffler;M. Gienger;F. Pfeiffer;H. Ulbrich

  • Task-oriented whole body motion for humanoid robots

    M. Gienger;H. Janssen;C. Goerick

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

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

  • Computer system and control of biped "Johnnie"

    S. Lohmeier;K. Loffler;M. Gienger;H. Ulbrich

  • The concept of jogging JOHNNIE

    F. Pfeiffer;K. Loffler;M. Gienger

  • Real-time collision avoidance with whole body motion control for humanoid robots

    H. Sugiura;M. Gienger;H. Janssen;C. Goerick

  • Whole body humanoid control from human motion descriptors

    B. Dariush;M. Gienger;Bing Jian;C. Goerick

  • Sensors and Control Concept of Walking “Johnnie”

    Klaus Löffler;Michael Gienger;Friedrich Pfeiffer

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

    Matthias Rolf;Jochen J. Steil;Michael Gienger

  • Data-Efficient Domain Randomization With Bayesian Optimization

    Fabio Muratore;Christian Eilers;Michael Gienger;Jan Peters

  • Uncertainty aware grasping and tactile exploration

    Stanimir Dragiev;Marc Toussaint;Michael Gienger

  • Interactive imitation learning of object movement skills

    Manuel Mühlig;Michael Gienger;Jochen J. Steil

  • Robot Learning from Randomized Simulations: A Review.

    Fabio Muratore;Fabio Ramos;Greg Turk;Wenhao Yu

  • ONLINE TRANSFER OF HUMAN MOTION TO HUMANOIDS

    Behzad Dariush;Michael Gienger;Arjun Arumbakkam;Youding Zhu

  • Robots with collision avoidance functionality

    Hisashi Sugiura;Herbert Janssen;Michael Gienger

  • On Achieving Energy Efficiency and Reducing CO 2 Footprint in Cloud Computing

    Usman Wajid;Cinzia Cappiello;Pierluigi Plebani;Barbara Pernici

  • Optimization of sequential attractor-based movement for compact behaviour generation

    M. Toussaint;M. Gienger;C. Goerick

  • Automatic selection of task spaces for imitation learning

    Manuel Muhlig;Michael Gienger;Jochen J. Steil;Christian Goerick

  • Online and markerless motion retargeting with kinematic constraints

    B. Dariush;M. Gienger;A. Arumbakkam;C. Goerick

  • Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

    Simon Manschitz;Jens Kober;Michael Gienger;Jan Peters

  • Robotics and Biomimetics, 2006. ROBIO'06. IEEE International Conference on

    Matthew Howard;M. Gienger;C. Goerick;Sethu Vijayakumar

Frequent Co-Authors

Sethu Vijayakumar
Sethu Vijayakumar University of Edinburgh
Jochen J. Steil
Jochen J. Steil Technische Universität Braunschweig
Friedrich Pfeiffer
Friedrich Pfeiffer Technical University of Munich
Marc Toussaint
Marc Toussaint Technical University of Berlin
Jan Peters
Jan Peters Technical University of Darmstadt
Ambarish Goswami
Ambarish Goswami Intuitive Surgical (United States)
Kikuo Fujimura
Kikuo Fujimura Honda (United States)
Oussama Khatib
Oussama Khatib Stanford University
Eiichi Yoshida
Eiichi Yoshida Tokyo University of Science
David E. Orin
David E. Orin The Ohio State University

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