Published December 14, 2022
| Version 1
Dataset
Open
Motion Policy Networks
Authors/Creators
- 1. University of Washington, NVIDIA
- 2. NVIDIA
Description
This is the pretrained model, training data set, evaluation problem sets, and sample real robot data accompanying Motion Policy Networks, an end-to-end neural model that can be used to generate collision-free, smooth motion from just a single depth camera observation. The training data set consists of over 3 million motion planning problems for a Franka Panda arm in over 500,000 environments.
Files
Files
(8.8 GB)
| Name | Size | |
|---|---|---|
|
md5:56e73aa7ab028c4028583c4e4623814b
|
8.2 MB | Download |
|
md5:bc0172f47844fbd2abcb4dd3b4e1344d
|
8.4 MB | Download |
|
md5:fdc8e65874f8941abbb39d8b7addfacb
|
8.1 MB | Download |
|
md5:d2eb2da582f1934dea75ce9f4e5efbc9
|
228.9 MB | Download |
|
md5:82161cf3370910aa037dc6cfdf4c5485
|
8.5 GB | Download |
|
md5:d60043a54952673c708208af810aada3
|
42.7 MB | Download |