Marion, Pat and Fallon, Maurice and Deits, Robin and Whelan, Thomas and Antone, Matthew and McDonald, John and Tedrake, Russ
(2015)
Continuous Humanoid Locomotion over Uneven Terrain
using Stereo Fusion.
In:
IEEE-RAS, 15th International Conference on Humanoid Robots (Humanoids), 2015.
IEEE.
ISBN 9781479968848
Abstract
Humanoid robots have the potential to traverse the same com-
plex terrain as humans: dealing with all the challenges of
uneven and discontinuous surfaces, cracks and gaps while
moving at typical human speeds. While locomotion research
spans actuator development, dynamic planning and control,
in this work we focus on terrain estimation and footstep plan-
ning — in particular while in continuous motion.
We demonstrate that a precisely accurate dense terrain map
can be estimated using only imagery from a humanoid robot’s
passive stereo camera
. This result then provides the necessary
sensory input for an on-demand footstep planner which can
in turn compute a set of footsteps which are optimal (within
our assumptions) and kinematically feasible; yet does so suffi-
ciently quickly that the robot can continuously locomote over
uneven terrain.
Our experiments demonstrate the Boston Dynamics Atlas
robot continuously walking over a terrain course similar to
the DARPA Robotic Challenge (DRC) walking task. Our aim
with this work is to demonstrate how modern dense visual
mapping techniques can be used by dynamic robots while in
motion.
Item Type: |
Book Section
|
Keywords: |
stereo image processing; humanoid robots; image fusion; integer programming; legged locomotion; path planning; quadratic programming; robot vision; |
Academic Unit: |
Faculty of Science and Engineering > Computer Science |
Item ID: |
8308 |
Identification Number: |
https://doi.org/10.1109/HUMANOIDS.2015.7363465 |
Depositing User: |
John McDonald
|
Date Deposited: |
12 Jun 2017 14:57 |
Publisher: |
IEEE |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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