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.
| Author / organization | rlogh |
|---|---|
| Downloads | 273 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 March 2026 |
| Last updated at source | 23 March 2026 |
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- 17 Oct 2026 Description: 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 (Traini → 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 (Traini
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