AI Sapiens K1

AI Sapiens is ROBOTIS's humanoid platform for developing motion, learning, and control on real hardware. It is designed so policies trained with imitation learning and reinforcement learning can move from simulation to physical deployment.

Here, Physical AI means intelligence that closes the loop across hardware, sensing, actuation, and real-world dynamics.

AI Sapiens K1 is the humanoid robot described throughout this manual. It brings together the hardware, robot software, training assets, and documentation needed to reproduce AI Sapiens workflows in research, education, and product development.

AI Sapiens is also an end-to-end open-source project. ROBOTIS plans to share the full stack from mechanical hardware and electrical system resources to robot software, simulation assets, training workflows, and deployment guides. This gives users a clear path to study how the robot is built, modify each layer, and develop new capabilities on top of the same resources used by the platform.

See the Hardware and Software Architecture pages for detailed specifications.

note

Specifications, software behavior, open-source resources, and documentation content may be updated without prior notice.

Key Features

🧠

Platform for Physical AI

Documentation, simulation, and control workflows for policies that can be trained, refined, and validated against real contact and dynamics.

🌐

Fully Open-Source Platform

Hardware, electrical, software, simulation, and learning resources are organized so users can inspect, modify, and build on the complete robot stack.

⚙️

Hardware-Aware Development

Motion, control, and learning workflows are documented around the real robot platform instead of only simulation examples.

🦾

Whole-Body Motion

The platform supports locomotion, upper-body motion, and sim-to-real workflows from one robot body.

Reinforcement Learning

AI Sapiens uses reinforcement learning to develop locomotion while reducing the gap between simulation and real hardware. Training is performed in NVIDIA Isaac Sim™, enabling physics-based simulation and large-scale policy iteration. By connecting simulation with physical deployment, AI Sapiens supports more stable and precise humanoid locomotion.

Imitation Learning

AI Sapiens includes an imitation learning workflow for data collection, training, and inference. Demonstration data can be collected through the leader-follower system, allowing human motions to be recorded and structured for learning. The workflow helps users move from demonstration data to robot behavior with fewer manual conversion steps.

Policies trained from demonstrations can then be transferred to the robot for natural, repeatable behaviors. This keeps data collection, training, and real-world execution connected, so users can iterate quickly and validate skills on hardware.

More About K1

Use the specification pages when you need concrete hardware or software details:

Hardware: mechanical layout, actuators, compute, interfaces, power, and hardware resources.
Software Architecture: OS, containers, ROS 2, communication, and robot-side software stack.

AI Manipulator

OpenManipulator

AI Sapiens K1