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dc.contributor.authorDai, Hongkai
dc.contributor.authorValenzuela, Andres
dc.contributor.authorTedrake, Russell Louis
dc.date.accessioned2016-02-03T15:47:58Z
dc.date.available2016-02-03T15:47:58Z
dc.date.issued2014-11
dc.identifier.isbn978-1-4799-7174-9
dc.identifier.urihttp://hdl.handle.net/1721.1/101079
dc.description.abstractTo plan dynamic, whole-body motions for robots, one conventionally faces the choice between a complex, full-body dynamic model containing every link and actuator of the robot, or a highly simplified model of the robot as a point mass. In this paper we explore a powerful middle ground between these extremes. We exploit the fact that while the full dynamics of humanoid robots are complicated, their centroidal dynamics (the evolution of the angular momentum and the center of mass (COM) position) are much simpler. By treating the dynamics of the robot in centroidal form and directly optimizing the joint trajectories for the actuated degrees of freedom, we arrive at a method that enjoys simpler dynamics, while still having the expressiveness required to handle kinematic constraints such as collision avoidance or reaching to a target. We further require that the robot's COM and angular momentum as computed from the joint trajectories match those given by the centroidal dynamics. This ensures that the dynamics considered by our optimization are equivalent to the full dynamics of the robot, provided that the robot's actuators can supply sufficient torque. We demonstrate that this algorithm is capable of generating highly-dynamic motion plans with examples of a humanoid robot negotiating obstacle course elements and gait optimization for a quadrupedal robot. Additionally, we show that we can plan without pre-specifying the contact sequence by exploiting the complementarity conditions between contact forces and contact distance.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio) Award FA8750-12-1-0321)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/HUMANOIDS.2014.7041375en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleWhole-body motion planning with centroidal dynamics and full kinematicsen_US
dc.typeArticleen_US
dc.identifier.citationDai, Hongkai, Andres Valenzuela, and Russ Tedrake. “Whole-Body Motion Planning with Centroidal Dynamics and Full Kinematics.” 2014 IEEE-RAS International Conference on Humanoid Robots (November 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDai, Hongkaien_US
dc.contributor.mitauthorValenzuela, Andresen_US
dc.contributor.mitauthorTedrake, Russell Louisen_US
dc.relation.journalProceedings of the 2014 IEEE-RAS International Conference on Humanoid Robotsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsDai, Hongkai; Valenzuela, Andres; Tedrake, Russen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6798-1921
dc.identifier.orcidhttps://orcid.org/0000-0002-8712-7092
dc.identifier.orcidhttps://orcid.org/0000-0001-9363-3701
mit.licenseOPEN_ACCESS_POLICYen_US


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