license: cc-by-4.0
task_categories:
- robotics
pretty_name: PCHands
size_categories:
- n<1K
PCHands: PCA-based Hand Pose Retargeting on Manipulators with N-DoF
Paper: PCHands: PCA-based Hand Pose Retargeting on Manipulators with N-DoF (Humanoids 2025)
Authors: En Yen Puang, Federico Ceola, Giulia Pasquale, Lorenzo Natale
Affiliations: Italian Institute of Technology (IIT), University of Genoa
Project Website: https://hsp-iit.github.io/PCHands/
Code: https://github.com/hsp-iit/PCHands/
Download: Alternative download IIT Dataverse
📦 Dataset Description
A collection of human demonstrations in multiple manipulation tasks, using 4 manipulators. This dataset also contains the model checkpoint and normalization for the RL environment:
- Model checkpoint for the CVAE
- Collected teleoperated demonstrations
- Baked demonstrations for RL training
- Normalization stat for RL training
Folder Structure
This dataset contains:
- adf: Model checkpoint for the Conditional Variational Auto-Encoder (CVAE)
- rl_scripts/teleop_collection: Collected raw teleoperated demonstration episodes
- rl_scripts/demo: Packed and processed demonstrations
- rl_sim/env/norm: Normalization statistic for RL training
File Naming
Raw Episode:
rl_scripts/teleop_collection/[src_manip_name]/[task_name]/[id].pkl
Processed Demonstration:
rl_scripts/demo/[src_manip_name]/[task_name]_[tgt_manip_name]_[npc].pkl
Normalizing Statistic:
rl_sim/env/norm/[src_manip_name]/[task_name]_[tgt_manip_name]_[npc].npz
- [src_manip_name]: source manipulator name
- [tgt_manip_name]: target manipulator name
- [task_name]: manipulation task name
- [npc]: number of principal component
Usage
Refer to the official GitHub repository PCHands for details usages and source code.
📈 Citation
@inproceedings{puang2025pchands,
author={Puang, En Yen and Ceola, Federico and Pasquale, Giulia and Natale, Lorenzo},
booktitle={2025 IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids)},
title={PCHands: PCA-Based Hand Pose Synergy Representation on Manipulators with $N$-DoF},
year={2025},
pages={475-482},
doi={10.1109/Humanoids65713.2025.11203193}
}