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
- Karl Pertsch*, Oleh Rybkin*, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine Website: ...
- planning
- Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
- Markus Käppeler, Özgün Çiçek, Yakov Miron, Abhinav Valada DualViewMapDet: Leveraging Previous-Traversal
- Anthony Simeonov (MIT); Yilun Du (MIT); Beomjoon Kim (MIT); Francois Hogan (MIT); Alberto Rodriguez (MIT); Pulkit Agrawal ...
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- "** CoRL 2022 (www.corl2022.org) - Workshop on "Learning, Perception, and Abstraction for
"**Modeling
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