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🍳 Chinese Commercial Kitchen Manipulation Dataset — Preview Pack

Asia's first real commercial kitchen manipulation dataset.

Professional chef (20 years) · Real restaurant · RGB-D · Multi-view


Overview

This repository contains a preview pack of a real-world Chinese commercial kitchen manipulation dataset.

The dataset was collected in an operating restaurant environment using multi-view RGB and depth sensors. Unlike laboratory datasets, the recordings capture realistic cooking workflows, cluttered workspaces, variable lighting conditions, and natural human motion.

The current preview release contains screenshot samples only.

The complete dataset, including original videos, raw depth files, and future task collections, is available upon request.


Key Features

  • Real commercial Chinese kitchen environment
  • Professional chef with 20 years of experience
  • Multi-view recording setup
  • RGB + Depth data
  • First-person (egocentric) perspective
  • Suitable for:
    • Embodied AI
    • Robotic Manipulation
    • Imitation Learning
    • Human Action Recognition
    • Visual-Language Action Models
    • Grasp Planning Research

Preview Contents

RGB — Overhead View (/overhead)

Fixed Intel RealSense D435I camera mounted approximately 1.5 meters above the workstation.

Provides a complete view of:

  • Ingredients
  • Tools
  • Both hands
  • Cooking workspace

Depth Data — Colorized Preview (/depth)

Raw depth data was captured using an Intel RealSense D435I sensor.

Preview images are colorized visualizations generated from the original depth frames.

Depth format:

  • HDF5
  • Float32
  • Metric depth (meters)

Point cloud reconstruction can be generated directly from the original depth recordings.


Task 1 — Cutting (/task_01_cutting)

Examples include:

  • Vegetable cutting
  • Meat cutting

Views:

  • Egocentric (head-mounted camera)
  • Side view camera
  • Overhead RGB-D (Intel RealSense D435I, includes depth data)

Task 2 — Wok Stir-Fry (/task_02_stir_fry)

High-difficulty bimanual manipulation task involving:

  • Ingredient handling
  • Wok operation
  • Continuous tool interaction

Views:

  • Egocentric (head-mounted camera)
  • Side view camera

Sensor Configuration

Three complementary viewpoints were recorded simultaneously:

View Resolution Frame Rate
Egocentric 3840 × 2160 (4K) 29.97 fps
Side View 1920 × 1080 60 fps
Overhead RGB-D 1280 × 720 15 fps

This multi-view setup captures both fine-grained hand-object interactions and global workspace context.


Available Data

Content Format Status
Multi-view RGB Videos MP4 Available upon request
Depth Data HDF5 (float32, meters) Available upon request
RealSense Raw Recordings .bag Available upon request
Screenshot Preview Pack PNG Included in this repository

Future Collection Tasks

Additional task categories are currently being planned and can be collected upon request.

Potential tasks include:

  • Stewing
  • Deep Frying
  • Pan Frying
  • Dumpling Folding
  • Ingredient Preparation
  • Kitchen Cleaning Procedures

Custom task collection may be available for research and commercial projects.


Collection Environment

Location

Zhongshan, Guangdong, China

Venue

Operating commercial Chinese restaurant

Operator

Professional chef with approximately 20 years of experience

Consent

Full informed consent obtained from all participants.


Dataset Applications

Potential applications include:

  • Robotic Cooking Systems
  • Embodied Foundation Models
  • Visual Action Understanding
  • Human Demonstration Learning
  • Multi-modal Perception
  • RGB-D Manipulation Research
  • Human-Robot Collaboration

Access to Full Dataset

The complete dataset is not publicly hosted due to storage size limitations.

Available materials include:

  • Multi-view MP4 recordings
  • Original RealSense depth data
  • Raw bag recordings
  • Optional annotations

Researchers and organizations interested in accessing the complete dataset may contact:

📧 andy@dynamicnova.com

Please include:

  • Research topic
  • Intended use case
  • Preferred format (MP4 / HDF5 / RLDS / LeRobot)

Citation

If you use this dataset in academic or commercial research, please cite this repository.


Preview collected in May 2026

Nova Dynamics Limited

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