Stanford Interactive Perception and Robot Learning Lab
We seek to understand the underlying principles of robust sensorimotor coordination by implementing them on robots. This is the place for our Open Source code.
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- Stanford
- http://iprl.stanford.edu/
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Concept2Robot
Concept2Robot Publicsimulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"
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sceneflownet
sceneflownet PublicMotion-based Object Segmentation based on Dense RGB-D Scene Flow
Repositories
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- RPIN Public Forked from HaozhiQi/RPIN
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)
stanford-iprl-lab/RPIN’s past year of commit activity - virtual-tools-backbone Public Forked from kasmith/virtual-tools-backbone
Core code for virtual tools game worlds, built as a wrapper around pymunk / pygame
stanford-iprl-lab/virtual-tools-backbone’s past year of commit activity - ao-grasp Public
stanford-iprl-lab/ao-grasp’s past year of commit activity - contact_graspnet Public Forked from NVlabs/contact_graspnet
Efficient 6-DoF Grasp Generation in Cluttered Scenes
stanford-iprl-lab/contact_graspnet’s past year of commit activity - zeddy Public
stanford-iprl-lab/zeddy’s past year of commit activity
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