🤖 Building Whole-Body Intelligence for the Real World. Were Just Getting Started.
From bending down to pick up objects and navigating steps to autonomously clearing tables, operating dishwashers, and organizing refrigerators, our robots are learning to perceive, move, manipulate, and coordinate their entire bodies in real-world environments.
Powered by our Whole-Body Intelligence (WBI) framework, were building generalist humanoid foundation models by combining large-scale human whole-body data pretraining, context-aware behavioral foundation models, and efficient post-training with real-robot data - turning human experience into real-world robotic skills.
👉 Watch Whole-Body Intelligence in action in our three-minute demo. More to come. Stay tuned at archon.tech#ArchonRobotics#WholeBodyIntelligence#WBI#Humanoid#PhysicalAGI
🤖 Building Whole-Body Intelligence for Long-horizon Tasks and Precise Manipulation.
Sustained multi-step execution with precise contact for inner-pot placement and button presses.
What’s better than a humanoid playing ping-pong? Two playing doubles—and trying not to crash into each other 😁
Meet PingpongDuo: humanoid table tennis doubles 🏓
Check out the project and play with interactive 3D scenes
archon.tech/research/Pingpon…
Paper: arxiv.org/abs/2610.20579
How can roboticists scale human manipulation data in the wild? EgoHumanoid builds a comprehensive pipeline which unlocks mobile manipulation training for robots — meaning that you can walk around and collect data for your robot anywhere you go. There are two key components to their recipe: view alignment, to reduce mismatch between human and robot camera views, and action alignment, to make sure human actions can be converted into robot actions. This makes it easier than ever to train robot policies and deploy them in previously-unseen environments. @idomihs joins us to tell us the details.
Watch Episode #96 of RoboPapers with @micoolcho and @DJiafei today!
At Archon, we believe Whole-Body Intelligence (WBI) will define the future of humanoid robotics.
The field must move from isolated, task-specific capabilities toward a generalist whole-body foundation. 🧵
Archon co-founder and CEO Tianyu Li, a WAIC 2026 Yunfan Award recipient, presented “Scaling Whole-Body Humanoid Skills with Human Demonstration,” showing how human demonstrations can scale whole-body humanoid skills.
Watch the talk: piped.video/watch?v=z6vdlkJX…
Archon co-founder and Chief AI Officer Li Chen, an ECCV 2026 Area Chair, presented “Improving Embodied Policy with Compositional World Model,” exploring how compositional world models can drive self-improving embodied policies.
Watch the talk: piped.video/watch?v=Gds0-mXy…