Model-based control and estimation of humanoid robots via orthogonal decomposition

Michael Mistry, Akihiko Murai, Katsu Yamane, Jessica Hodgins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Model-based control techniques, which use a model of robot dynamics to compute force/torque control commands, have a proven record for achieving accuracy and compliance in force-controllable robot manipulators. However, applying such methods to humanoid and legged systems has yet to happen due to challenges such as: 1) under-actuation inherent in these floating base systems, 2) dynamically changing contact states with potentially unknown contact forces, 3) and the difficulty of accurately modeling these high degree of freedom systems, especially with inadequate sensing. In this work, we present a relatively simple technique for fullbody model-based control and estimation of humanoid robot, using an orthogonal decomposition of rigid-body dynamics. Doing so simplifies the problem by reducing control and estimation to only those variables critical for the task. We present some of our recent evaluations of our approaches on the CarnegieMellon/Sarcos hydraulic force-controllable humanoid robot, engaging in dynamic tasks with contact state changes, such as standing up from a chair.

Original languageEnglish
Title of host publicationExperimental Robotics
Subtitle of host publication12th International Symposium on Experimental Robotics
EditorsOussama Khatib, Vijay Kumar, Gaurav Sukhatme
Number of pages16
ISBN (Electronic)9783642285721
ISBN (Print)9783642285714
Publication statusPublished - 2014
Event12th International Symposium on Experimental Robotics, ISER 2010 - New Delhi, Agra, India
Duration: 18 Dec 201021 Dec 2010

Publication series

NameSpringer Tracts in Advanced Robotics
ISSN (Print)16107438
ISSN (Electronic)1610742X


Conference12th International Symposium on Experimental Robotics, ISER 2010
CityNew Delhi, Agra

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence


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