lipm_walking_controller
Walking controller for humanoid robots based on inverted pendulum tracking (by stephane-caron)
MRPT
:zap: The Mobile Robot Programming Toolkit (MRPT) (by MRPT)
lipm_walking_controller | MRPT | |
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2 | 1 | |
216 | 1,864 | |
- | 0.9% | |
2.1 | 9.6 | |
9 months ago | 2 days ago | |
C++ | C++ | |
BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lipm_walking_controller
Posts with mentions or reviews of lipm_walking_controller.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-08.
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Help! After adding a chest (incl battery and two servos for the shoulders) my humanoid Kayra the same gait pattern doesn't work anymore. Here's a video contrasting with vs without chest. What are the top five improvements you'd suggest?
On a related note, a ZMP-based trajectory optimizer also has a fitness function. Unfortunately it's not obvious at all in the tutorial I mentioned, there it only appears as wxt=1., wu=0.01; it's more obvious in the code and GUI of the lipm_walking_controller, where the cost function appears in the Walking → MPC tab. You can run this thing in a Docker if you want to check it out:
MRPT
Posts with mentions or reviews of MRPT.
We have used some of these posts to build our list of alternatives
and similar projects.
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How do learn the industrial or main stream slam algorithms/ localization.
Recommend finding open source libraries, like this one https://github.com/MRPT/mrpt Also you could look into ROS1 and ROS2 nav stack to understand the implementation via gazebo and rviz