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Learning Deformable Object Manipulation from Expert Demonstrations (RA-L, IROS 2022)

Home Page: https://uscresl.github.io/dmfd

Python 29.78% Makefile 2.37% Batchfile 0.01% Shell 0.46% CMake 0.03% C++ 55.53% C 7.29% HLSL 1.73% Objective-C 0.14% HTML 2.54% Cuda 0.10% Dockerfile 0.01%
deformable-object reinforcement-learning robotics

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dmfd's Issues

Realworld Experiment demo.py

Hi, great work and thanks for sharing the code!

I am confused about how the real-world experiment is conducted. There is only one code called demo.py, and it seems that it runs with previously saved pick and place points locations in the simulation. Some transformation is then conducted for the actual pick and place. Is this the way how the actual real-world experiment goes?

Thanks in advance for your reply!

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