rlogh/climbing-holds-pointcloud
Rock Climb — Grasp-Taxonomy-Aware 3D Diffusion Policy Trains a DP3-style point cloud diffusion policy conditioned on grasp type (crimp/sloper/pinch/jug) to autonomously grasp climbing holds with a Franka arm + LEAP Hand. Quick Start (Training Machine) 1. Clone the repo git clone https://github.com/rumilog/rock-climb.git tele cd tele 2. Create a Python environment python3 -m venv venv source venv/bin/activate pip install --upgrade… See the full description on the dataset page: https://huggingface.co/datasets/rlogh/climbing-holds-pointcloud.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face