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Thread: COMAN, COmpliant huMANoid platform, Italian Institute of Technology (IIT), Genova, Italy

  1. #1

    COMAN, COmpliant huMANoid platform, Italian Institute of Technology (IIT), Genova, Italy


  2. #2


    Overview of the compliant humanoid CoMan

    Published on Jun 27, 2012

    This is a video compilation of the lower body prototype of the Compliant Humanoid CoMan. The video shows a series of demos of walking, turning, and stance stabilization.


    Full Body Compliant Humanoid COMAN

    Published on Apr 3, 2013



    An Attractor-based Whole-Body Motion Control (WBMC) System for Humanoid Robots

    Published on Dec 6, 2013

    This video shows the results of some preliminary experiments with the COMAN robot being torque-controlled. The proposed Whole-Body Motion Control (WBMC) System is based on a set of attractors, atomic control modules generating joint torques that aim to modify the state of the robot so that the error in a target condition is minimized.

    More details on the proposed whole-body control method can be found in:

    F.L. Moro, M. Gienger, A. Goswami, N.G. Tsagarakis, D.G. Caldwell, "An Attractor-based Whole-Body Motion Control (WBMC) System for Humanoid Robots", IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 42-49, Atlanta, Georgia, USA (2013)

  3. #3


    Dynamic Walking of Whole-body Compliant Humanoid COMAN

    Published on Dec 1, 2014

    Video Credits: the Locomotion Group, the Humanoids & Human Centred Mechatronics Lab (ADVR, IIT) Walking control algorithms are developed by Chengxu Zhou, Xin Wang, and Zhibin Li.

    The research is supported by the EU Project Walk-Man

  4. #4


    Developing robots that can walk more naturally

    Uploaded on Sep 21, 2017

    Walking on two legs isn’t as easy as it seems. Especially for robots, where a natural stride is a major challenge. Researchers at EPFL’s Biorobotics Laboratory are testing novel systems to improve humanoids’ ability to walk and interact.
    Article "Robots learn to walk naturally by understanding their bodies"
    Self-aware algorithms and flexible joints help them move more like humans.

    by Jon Fingas
    September 24, 2017

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