CoolFace
Datasetpublic

DaoyuanZhu/Robot-Feeding

Robot-Feeding Wheeled humanoid robot model for feeding assistance research.Contains URDF, STL meshes, and Isaac Lab USD assets. Robot Overview Type: Wheeled humanoid (differential drive base + dual 7-DOF arms) Total DOF: 20 (waist ×3, chest ×1, neck ×1, head ×1, left arm ×7, right arm ×7) Base: Two-wheeled chassis with integrated wheel geometry (chassis.STL) Joint List # Joint Group 1 waist_link1 Waist 2 waist_link2 Waist 3… See the full description on the dataset page: https://huggingface.co/datasets/DaoyuanZhu/Robot-Feeding.

sourceHugging Facemitupdated 20d agoView on Hugging Face
0likes124downloads
Dataset Card

Robot-Feeding

Wheeled humanoid robot model for feeding assistance research. Contains URDF, STL meshes, and Isaac Lab USD assets.

Robot Overview

  • —Type: Wheeled humanoid (differential drive base + dual 7-DOF arms)
  • —Total DOF: 20 (waist ×3, chest ×1, neck ×1, head ×1, left arm ×7, right arm ×7)
  • —Base: Two-wheeled chassis with integrated wheel geometry (chassis.STL)

Joint List

#JointGroup
1waist_link1Waist
2waist_link2Waist
3waist_link3Waist
4chest_jointTorso
5–11AR5-507Ljoint_1~7Left Arm
12neck_jointHead
13head_jointHead
14–20AR5-507Rjoint_1~7Right Arm

File Structure

robot_model_v2/
├── urdf/
│   └── wheel_robot.urdf        # Main robot description (26 links, 25 joints)
├── meshes/
│   ├── chassis.STL             # Chassis with integrated wheel geometry (14 MB)
│   ├── body.STL                # Upper body (20 MB)
│   ├── AR5_P_L/                # Left arm meshes (11 MB)
│   ├── AR5_P_R/                # Right arm meshes (11 MB)
│   ├── chest.STL
│   ├── head.STL
│   ├── waist_link1~3.STL
│   ├── neck.stl
│   └── base_link.STL
├── usd/
│   └── wheel_robot_lab.usd     # Isaac Lab USD asset
└── README.md

Usage

Isaac Gym

bash
# Clone and install Isaac Gym, then:
conda activate gym
python isaacgym_visualize.py --animate --motion-mode sequential --duration 33 --fps 30

Isaac Lab

bash
conda activate sim4
python isaaclab_record_demo.py usd/wheel_robot_lab.usd \
  --headless --enable_cameras --motion-mode sequential --duration 20 --fps 24

Load URDF in Python

python
import yourparser  # e.g. urdfpy, yourdfpy, pybullet
robot = yourparser.load("robot_model_v2/urdf/wheel_robot.urdf")