Yu Xiang (@YuXiang_IRVL)
2024-09-11 | โค๏ธ 121 | ๐ 12
Nice work! Using a motion planning expert in simulation to generate demonstrations and then learning a policy is aligned with our previous work on learning a grasping policy for arbitrary objects with @LiruiWang1 https://sites.google.com/view/gaddpg https://x.com/YuXiang_IRVL/status/1833955889935733139/video/1
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Murtaza Dalal (@mihdalal)
Can a single neural network policy generalize over poses, objects, obstacles, backgrounds, scene arrangements, in-hand objects, and start/goal states?
Introducing Neural MP: A generalist policy for solving motion planning tasks in the real world ๐ค 1/N https://t.co/p4V0RfUG0h
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