hyperplane-lab / RLAfford

RLAfford: End-to-End Affordance Learning for Robotic Manipulation, ICRA 2023
https://sites.google.com/view/rlafford/
88 stars 8 forks source link

Code for real-world implementation #10

Closed yijionglin closed 5 months ago

yijionglin commented 1 year ago

Hi there,

Thanks for sharing such a well-developed project!

Just wondering if you have any plans to open-source the code for real-world implementation.

All the best,

GengYiran commented 5 months ago

you can find the code for the real-world experiments training code in experiments.md->real world

GengYiran commented 5 months ago

the env of real world is here: https://github.com/hyperplane-lab/RLAfford/blob/main/MARL_Module/envs/tasks/franka_cabinet_real_world.py