Bring Ease to the World with Physical AI.
Joined May 2026
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Striding AI launches Physical AI solution for 24/7 retail.
H1 Humanoid · C1 Carrying Robot · M1 Management Platform
🧠 World models + RL + embodied agents — enabling robots to perceive, plan, & execute on the floor, supporting 24/7 operations. 🏪 📹
youtu.be/M3lAuI1YxYk
Introducing C1, Striding AI's physical AI solution designed for real-world retail environments.
Built for narrow aisles and dynamic store environments, C1 features:
• Omnidirectional movement with a compact footprint
• No modification required to existing shelves or store layouts
• 100mm–1750mm+ operating height
• Transport, restocking and handling capabilities
• Depth vision and 360° visual perception
From navigating narrow spaces to handling everyday retail tasks, C1 is designed to bring Physical AI into real commercial environments.
#C1 #RetailRobot #PhysicalAI #Robotics #EmbodiedAI #StridingAI
Meet H1, Striding AI’s first fully self-developed humanoid robot.
Built for real-world environments, H1 combines physical intelligence with natural human-robot interaction:
• 20+ languages
• 45 facial expressions
• 36 gestures
• Open API for further development
Designed to work alongside people across retail, service, and other real-world settings.
A step toward bringing Physical AI into the real world.
#H1 #HumanoidRobot #PhysicalAI #Robotics
#AI has learned to generate answers in the digital world.
The next step is to take action in the physical world.
At #APRCE2026, Song Yao, Founder and CEO of Striding AI, shared how AI innovations can reshape 24/7 #retail & bring ease to the world with #physicalAI.
What will 24/7 retail look like in the age of #PhysicalAI?
Our Founder & CEO Song Yao will take the stage at #APRCE2026 with a talk on Physical AI and the Future of 24/7 Retail.
📅 October 8 | 11:00
📍 Tokyo International Forum
Stay tuned.
#StridingAI #Robotics #Retail
Congrats to Prof. @ChaoYuTHU on being named a 2025 TR 35 Asia Pacific.🏆🎉
Her MAPPO work and large-scale RL infrastructure for embodied intelligence are already shaping how we train robots that act in the real world.🤖🧠
#MIT #TR35 #InnovatorsUnder35 #Rlinf
How can robots clear a cluttered tabletop? 🤖
Our Physical AI system enables the robot to recognize each object, decides where it belongs, and completes a long-horizon sequence of actions—including coordinated dual-arm handovers.
Thread 👇
Clearing a cluttered table is more than a pick-and-place task.
The task demonstrates three core capabilities:
1️⃣Semantic understanding of everyday objects
2️⃣Long-horizon planning and execution
3️⃣Coordinated dual-arm manipulation and handovers
Higher task success and faster execution. 🚀
Our Physical AI system completes a multi-stage unboxing task with tool use & high-precision bimanual manipulation.
Powered by #STEAM , it learns frame-level task progress from mixed-quality real-world experience.
From learning trajectories → learning progress.
@ChaoYuTHU proposed STEAM, a label-free advantage model that reads progress, stalls, failures, and recoveries frame‑by‑frame — learned from nothing but the temporal order of expert demos.
Real-world gains 🚀
On four real-robot tasks, paired with CFGRL, STEAM lifts success rate by +59%, +54.3%, +23%, and +16.2% — towel folding, chip checkout, cola restocking, and pick-and-place.
🌐 Project: rlinf.github.io/steam/
We see a possible paradigm shift:
End-to-End VLA → Harness VLA
@ChaoYuTHU open-sourced Harness VLA — adding a Harness Layer to organize VLA models without changing their weights.
LIBERO-Pro:
Harness VLA 82.4% 🚀
vs.
Pi_RLinf 50%
NVIDIA Cap-X 18.2%
Berkeley RATS 43.8%
Harness VLA improves reliability because exploration teaches the planner how to use a fixed primitive set: where to ground entities, when to invoke VLA_ACT, how to re-stage failed contacts, and which failures should not be repeated.
How can robots help people at the checkout? 🛒
Here's another Striding AI's demo as we work toward a future where humans and robots collaborate seamlessly.
#PhysicalAI #Robotics #AI #EmbodiedAI
👀 A sneak peek at Striding AI’s Physical AI system performing autonomous shelf restocking in a simulated retail environment.
#PhysicalAI #Robotics #AI #StridingAI #EmbodiedAI #MachineLearning
Introducing Striding AI. 💫
Our mission is simple:
Bring Ease to the World with #PhysicalAI.
What will the future look like?
We envision robots becoming trusted teammates—helping people work safer, smarter, and more efficiently. 💙
Explore more: striding.ai
