Publications:Experiments with Balancing on Irregular Terrains using the Dreamer Mobile Humanoid Robot

From ISLAB/CAISR
Revision as of 12:50, 13 March 2014 by SlawekBot (talk | contribs) (Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Luis Sentis, Joshua George Petersen, Roland Philippsen |PID=552741 |Name=Se...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

Do not edit this section

Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

Title Experiments with Balancing on Irregular Terrains using the Dreamer Mobile Humanoid Robot
Author
Year 2012
PublicationType Conference Paper
Journal
HostPublication
Conference Robotics: Science and Systems VIII, University of Sydney, Sydney, NSW, Australia, July 09-13, 2012
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:552741
Abstract

We investigate controllers for mobile humanoid robots that maneuver in irregular terrains while performing accurate physical interactions with the environment and with human operators and test them on Dreamer, our new robot with a humanoid upper body (torso, arm, head) and a holonomic mobile base (triangularly arranged Omni wheels). All its actuators are torque controlled, and the upper body provides redundant degrees of freedom. We developed new dynamical models and created controllers that stabilize the robot in the presence of slope variations, while it compliantly interacts with humans.

This paper considers underactuated free-body dynamics with contact constraints between the wheels and the terrain. Moreover, Dreamer incorporates a biarticular mechanical transmission that we model as a force constraint. Using these tools, we develop new compliant multiobjective skills and include self-motion stabilization for the highly redundant robot.