01
Capture
Record actions, workflows, and operating states in real kitchen environments.
Building Physical AI for the Real World, Starting from the Kitchen.
Physical AI:
A New Recipe for Reshaping the Real World
Starting with Cooking
We began with fried rice, training machines to understand how ingredients change, how heat behaves, and how timing shapes the cooking process.
By learning from human craft, we turn culinary experience and judgment into physical intelligence that can be learned, deployed, and continuously improved.
Reshaping the Real World with Physical AI
Cooking combines materials, heat, motion, timing, and human judgment. It is one of humanity’s most refined forms of physical intelligence.
When AI can work with materials, follow complex processes, and create in the real world, the world will no longer be only assembled.
It can be reshaped with skill, memory, care, and culture.
About SHEN NONG SHI
A Physical AI company starting from real kitchens, built for the complexity of the real world.
SHEN NONG SHI builds robotic systems that learn from human expertise and perform reliably in complex physical environments.
We start with cooking because it is hard. Real kitchens involve changing ingredients, dynamic heat, precise timing, multi-step workflows, and countless edge cases, making them a powerful proving ground for Physical AI.
From this starting point, we are building the data, models, control systems, and deployment loops that help machines master high-precision tasks in the real world.
How It Works
From human demonstration to deployable, verifiable, meaningful and scalable robotic systems.
02
Learn
Train models to understand physical tasks through demonstrations, teleoperation, and feedback.
03
Execute
Integrate with robotic control systems to complete tasks reliably in dynamic environments.
04
Evaluate
Evaluate results through taste, aroma, texture, temperature, and consistency.
05
Scale
Turn every deployment and validation cycle into data that continuously drives the next generation of models.
Building intelligence for the physical world, together. No hierarchy, only roles.
SHEN NONG SHI is built by people who believe that the hardest problems in the real world are worth solving.
This is not a traditional team organized only by hierarchy. It is a mission-driven unit built around real-world tasks.
Here, an engineer might ask the chef, "Why does it have to be flipped at exactly this moment?" And the chef might ask the model, "How do you know the heat is right?"
This is how we work through intelligence in the physical world.
Research Collaborations
We work closely with leading research groups in robot learning and human-centered intelligent systems, bringing frontier research into real culinary settings.
Core Team
Frank Shen
Director of Applied R&D / COO
#AI #NLP #CV #FinTech #Digital Transformation
Shao-Hua Sun
Assistant Professor, EE, NTU
# Ph.D. in CS, USC
# B.S. in EE, NTU
Yi-Ting Chen
Associate Professor, CS, NYCU
# Ph.D. in EE, Purdue University
# B.S. in EE, National Chiao Tung University
Jeff Shih
R&D Chef
# Former Head Chef, Alma Spanish Cuisine
# Former Head Chef, gubami Social
# Family-founded Taiwanese restaurant “Ching Ching Restaurant”
Team
Jake Wang
Product Manager
#Product Management
#Software Development
#Hardware Development
#Artificial Intelligence
#Restaurant Entrepreneur
Juien Lin
Project Manager
# Design Trend Analyst
# Scuola Politecnica di Design- Food Design and Innovation
#Home Goods Product Designer
Matt Wang
Engineering Manager - Robotics
#R&D Lead
#Robotics
#Motion Planning
#Control
#Optimization
Michael Huang
Robotics Engineer
#Robotics
#Motion Control
#Mechatronics
《2025 Taipei International Culinary Challenge Asian-style Creative Fried Rice》 Diploma
Eric Su
System Integration Engineer
#Robotics
#Fusion360
#Manufacture
#Django Full Stack
Ken Leong
Systems Engineer
#DevOps
#Backend
#Blockchain
《2025 Taipei International Culinary Challenge Asian-style Creative Fried Rice》 Bronze Medal
Yen Chen
Robotic System Integration Engineer
#ROS
#Robotics
#AutonomousDrivingVehicle
Ted Lee
Robotic System Integration Engineer
#Industrial Automation
#Embedded System
#PLC
TC Tseng
Robotics Learning Engineer
#MultiObjectTracking #MotionCapture #MakeRobotsSee
Bruce Wu
Director of Interaction Design
#InteractiveDesign
#DigitalProductManagement
#MixedRealityDevelopment
Katy Yang
Office Manager
#National Taipei University of Technology
Flora Tseng
Brand System Designer
#UIUX
#ContentDesign
#InteractiveDesign
Chris Yang
Robot Learning Engineer Intern
#Robot learning
#Reinforcement learning
#Imitation learning
A Demo You Can Taste
Each plate of fried rice brings together perception, control, timing, heat, recovery, and consistency.
It is not only measured in a lab, but experienced directly by people.
Featured in the opening film of NVIDIA’s CES 2025 keynote
Featured by NVIDIA founder Jensen Huang as a Physical AI and Robotics use case on the global stage.
Global debut at SXSW 2024 Pitch
Starting from real kitchens, showcasing SHEN NONG SHI's vision for Physical AI to the global innovation and investment community.
NVIDIA Inception Program
One of the earliest startups in NVIDIA’s Physical AI innovation ecosystem.
SNS-0.5
AI autonomous fried rice core validation, using fried rice as the first complete scenario to validate an AI-driven physical-world model that continuously learns.
Work with us to bring Physical AI into the real world.
If you believe the hardest and most meaningful problems for AI still live in the physical world,
we would love to meet you.
Whether you are a researcher, engineer, chef, designer, operator, investor, or partner, reach out to SHEN NONG SHI.
JOIN US
