Understanding A Long Horizon Planning Framework For Manipulating Rigid Pointcloud Objects
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Key Takeaways about A Long Horizon Planning Framework For Manipulating Rigid Pointcloud Objects
- Aidan Curtis*, Xiaolin Fang*, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett.
- CoRL 2022 (www.corl2022.org) - Workshop on "Learning, Perception, and Abstraction for
- Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
- Title: Scaling Robot Learning for
- Supplementary video for the publication: Not Throwing Away My Shot:
Detailed Analysis of A Long Horizon Planning Framework For Manipulating Rigid Pointcloud Objects
Sample video from the paper accepted to CoRL 2020. Find more here: https://anthonysimeonov.github.io/rpo- "** We present a visually grounded hierarchical
Source code + deep dives: https://onepagecode.substack.com/ Website: https://onepagecode.com/ In this video, we break ...
That wraps up our extensive overview of A Long Horizon Planning Framework For Manipulating Rigid Pointcloud Objects.
