Steppability
A crucial element in the legged planning pipeline is determing where in our local environment we can plan footsteps.
Often, this is accomplishing through classical point cloud processing approaches such as RANSAC, region growing, etc. However, when you are running onboard hardware and need to operate in realtime for tasks like footstep planning, these approaches can bottleneck your framework and limit your ability to plan reactively.
With this work, we wanted to see if this task can be accomplished through a learned approach where we bypass the expensive point cloud processing step and treat this is a segmentation task.
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