Odometry
YangXu-Insist opened this issue · comments
YangXu-Insist commented
How the odometry of the quadruped robot was realized in this project ?
Juan Miguel Jimeno commented
You can take a look at the implementation here: https://github.com/chvmp/libchamp/blob/master/odometry/odometry.h
Chris Albertson commented
I read the above link. I like to do it differently. Just use the
commanded motion of the body. Basically dead reckoning.
The linked code assumes the robot has zero velocity if (1) all feet are in
ground contact. No. The robot might be in the process of leaning in some
direction and hence moving. I define "moving" as the body center point is
translating relative to the real world. Leaning is a valid way to make
small movements. (Perhaps to better-position a camera?) and (2) the linked
code assumes if all feet of not in contact the robot is stationary. No.
It might be an actual MIT Cheetah that is powerful enough to use a bound or
pronk gait. (The linked code will always return "zero" in the case of
pronking.) Yes, any robot I could personally afford is upside down if all
feet are not in ground contact. But I can hope this situation changes.
Dead Reckoning is not accurate over long distances so I am looking at
visual odometry, perhaps a sensor that faces down to the floor. Basically
an optical mouse
…On Tue, Dec 7, 2021 at 8:40 AM Juan Miguel Jimeno ***@***.***> wrote:
You can take a look at the implementation here:
https://github.com/chvmp/libchamp/blob/master/odometry/odometry.h
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<#76 (comment)>, or
unsubscribe
<https://github.com/notifications/unsubscribe-auth/ABQKNRXNIRZEFBJNEPACRJDUPY2HRANCNFSM5JRKXI5Q>
.
Triage notifications on the go with GitHub Mobile for iOS
<https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675>
or Android
<https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.
--
Chris Albertson
Redondo Beach, California
Juan Miguel Jimeno commented
You could perhaps implement your own odometry implementation (something like this https://github.com/chvmp/champ/blob/master/champ_base/src/state_estimation.cpp#L110-L165) and fuse it with the other odometry/sensor source in either one of the ekf configs here: https://github.com/chvmp/champ/tree/master/champ_base/config/ekf