Jianlan Luo

@wtokumaru @cbfinn After some initial trials of this PR, I believe there are some minor notes to be added. 1. Dependencies, sudo apt-get install ros-indigo-urdf*, xacro, robot-model 2. ` __init__.py`...

@PhilJd Hi Phil, did you submit the PR by any chance, I am using tf1.1, and would appreciate your code. Thanks, Jianlan

Hi, Thanks for the interest in SERL! Contributions are definitely welcomed, and support for U55 would be quite useful; you could open a PR, then we'll work with you to...

It would be very useful to see it working with a UR5, so definitely send us videos! In general, if the object is completely not seen, there is no guarantee...

Congrats on the nice progress! In the videos, did the policy use cameras inputs? On Tue, Jul 16, 2024 at 10:12 AM SchNico24 ***@***.***> wrote: > I've since worked on...

That would be super nice, if you would like, could you open a PR to check in the code?

We haven’t tried that, my sense is that it wouldn’t be that easy. On Tue, Sep 10, 2024 at 2:11 AM cong1024 ***@***.***> wrote: > Thanks for the great work...

Hi, thanks for the work, since this is quite different from the main branch, I think it would make more sense if you push to a different branch on its...

Thanks for initiating this! I would actually recommend using Cartesian space control whenever you can do that, as in our experience it simplifies a lot of stuff in the learning...

Hi, thanks for the great work, if you want to cite hil-serl, here is the bibtex @article{luo2024hilserl, title={Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning}, author={Jianlan Luo and Charles...