A unified framework for robot learning
env.unwrapped
instead of env.env...
Full Changelog: https://github.com/vikashplus/robohive/compare/v0.5...v0.6
This release contains following task families -- Kitchen, Myo, HMS, Arms, and Quads along with associated NPG baselines.
This is the first comprehensive pre-release under the umbrella RoboHive!
This release contains following task families -- Kitchen, Myo, HMS, Arms along with associated NPG baselines.
This pre-release contains following task families -- Kitchen, Myo, HMS, Arms along with NPG baselines.
This pre-release contains following task families -- Kitchen, Myo, HMS, Arms along with NPG baselines.
This pre-release contains three stable task families -- Kitchen
, Myo
, HMS
along with NPG
baselines.
This pre-release contains two stable task families -- Kitchen
and Myo
along with NPG
baselines.
R3M studies how to learn generalizable visual representation for robotics from videos of humans and natural language. R3M realizes pre-trained representations (trained on the Ego4D dataset) that are effective in general simulated as well as real-world manipulation tasks. For more details: R3M webpage
RoboHive
uses git submodules to resolve dependencies. Please follow steps exactly as below to install correctly.
v0.0.5
with pre-populated submodule dependenciesgit clone --branch v0.0.5 --recursive https://github.com/vikashplus/robohive.git
pip
cd robohive
pip install -e .
v0.0.5
This checkpoint overrides the default behavior of the environments from a fixed kitchen to one where the kitchen randomly moves around, making the tasks visually more challenging.