Nvidia and Unitree today announced H2 Plus, the first open humanoid robot reference design built on the Nvidia Isaac GR00T development platform.
The state-of-the-art humanoid robot gives developers and researchers a development platform capable of handling industrial tasks that significantly reduces setup time.
As demand for general-purpose humanoids accelerates, developers still face a fragmented
process spanning hardware integration, data collection, simulation, training, evaluation and
deployment.
H2 Plus unifies development by bringing a Unitree humanoid robot and Sharpa Wave tactile
five-finger hands (the “body”), with Nvidia Jetson ThorT-powered onboard compute and Isaac GR00T software and workflows (the “brain”) into a single integrated reference design, helping research teams move faster from robot bring-up to skill development and real-world validation.
With Nvidia compute and software at the center of the reference design, H2 Plus gives
research teams a more unified, secure foundation for advancing humanoid robotics, said Jensen Huang, CEO of Nvidia, at Nvidia GTC Taipei and Computex 2026 in Taiwan.
“Humanoid robots will bring physical AI to the world’s largest industries, opening a
multitrillion-dollar economic opportunity,” said Huang, in a statement. “Unitree H2 Plus is the first humanoid robot reference design built on Nvidia Isaac GR00T to help take frontier robotics research to useful work in factories, warehouses and logistics systems around the world.”
A State-of-the-Art Humanoid Robot for Physical AI Development
The H2 Plus is a state-of-the-art humanoid robot that brings the key building blocks for frontier humanoid research into one system, pairing a human-scale robot body with dexterous manipulation, sensing, control and onboard AI compute.
The reference design features:
● Unitree H2 humanoid chassis, standing nearly 6 feet tall and weighing 150 pounds, with 31 degrees of freedom across the body for human-scale testing.
● Dual Sharpa Wave tactile five-finger hands, enabling dexterous manipulation with 22 degrees of freedom and bringing the robot to 75 degrees of freedom across the body and hands.
● Multi-view sensing, including a head-mounted stereo camera with wide field of view (140 degrees horizontal, 102 degrees vertical), wrist cameras for close-range manipulation and an inertia measurement unit for motion tracking.
● Whole-body control, with arm torque of up to 120 Newton-meters, leg torque of up to 360 Newton-meters, a rated arm payload of 7 kilograms and peak payload of 15 kilograms, unlocking more capable lifting and reach.
● Nvidia Jetson AGX Thor T5000 onboard compute, featuring an Nvidia Blackwell GPU with 2,070 FP4 teraflops of AI performance, a 14-core Arm CPU, 128GB of unified memory and a configurable 40- to 130-watt power range for real-time sensor processing and robot inference.
● Connectivity across Ethernet, Wi-Fi 6, Bluetooth 5.2, USB and an array of microphones and speakers for voice interaction.
● Battery for extended operation, with a 15Ah, 0.972kWh capacity and about three hours of life.
● On-remote emergency stop function for quickly disengaging the robot safely.
Nvidia Isaac GR00T Provides a Full-Stack Platform for Humanoid Development
The Nvidia software stack provides the development environment for simulation, training,
evaluation and deployment, while researchers retain control of their robot data, training data,
telemetry and logs.
The Isaac GR00T platform includes:
● Nvidia Isaac Teleop to capture high-quality robot demonstration data for training and policy development.
● Nvidia Isaac GR00T open foundation models to support humanoid reasoning, learning and multitask behavior.
● Nvidia Isaac Sim and Isaac Lab to simulate, train, test and evaluate robot policies before real-world deployment.
● Accelerated Nvidia Isaac ROS middleware to move trained policies onto robots.
● Nvidia Jetson Thor to run real-time, on-robot inference and control.
Its modular design lets robotics teams use the full platform or integrate selected capabilities
into existing development pipelines, helping them scale humanoid development without
rebuilding the same infrastructure for each robot or task.
The Nvidia Isaac GR00T developer platform will also support the Unitree G1 humanoid robot,
extending the same development approach to a robot widely used by researchers and humanoid developers across leading institutions.
Accelerating the Robotics Research Ecosystem
For institutions advancing humanoid robotics, H2 Plus provides a more capable reference design built around NVIDIA compute, software and security requirements, helping democratize frontier robotics research and enable teams to move faster from research ideas to physical robot validation.
Leading research institutions including Ai2, ETH Zurich, Stanford Robotics Center and UC San
Diego’s Advanced Robotics and Controls Laboratory will use the H2 Plus humanoid robot reference design to advance frontier humanoid robotics research.
“Robotics moves fastest when researchers can build on open platforms, share code and test
ideas on real machines,” said Steve Cousins, executive director of the Stanford Robotics Center, in a statement. “Unitree H2 Plus gives our students and collaborators an open humanoid reference design with dexterous hands, onboard AI compute and the Nvidia Isaac GR00T development platform for creating, comparing and sharing robot behaviors on physical hardware.”
“ETH Zurich’s robotics research aims to advance machines that can move, perceive and
manipulate reliably in the real world,” said Marco Hutter, professor at ETH Zurich’s Robotic
Systems Lab, in a statement. “The Unitree H2 Plus reference design gives our teams a state-of-the-art humanoid platform for collecting data, testing algorithms and validating robot behaviors with the Nvidia Isaac GR00T development platform.”
“To make progress toward general-purpose robots, researchers need platforms that are both
capable and broadly accessible,” said Deepak Pathak, cofounder and CEO of Skild AI, in a statement. “A reference design lets more researchers participate in frontier humanoid research and move from ideas to experiments faster. This helps push the whole robotics research ecosystem forward.”
“At Ai2, our mission is to accelerate robotics through open science,” said Dieter Fox, senior
research director at Ai2 and professor at the University of Washington, in a statement. “The Unitree H2 Plus, built on Nvidia’s open technologies, provides our researchers with the hardware and software components necessary to continue our work in broadly competent robotics.”
“Advancing robotics research for real-world problems requires humanoids that can move,
interact and manipulate with precision in dynamic environments,” said Michael Yip, professor
at UC San Diego and director of the Advanced Robotics and Controls Laboratory in a statement. “An integrated platform that connects robot hardware, data capture, policy learning and physical evaluation can help researchers accelerate loco-manipulation research and develop more useful real-world systems.”
Nvidia Research will use H2 Plus as a shared reference system to advance Isaac GR00T open
models, frameworks and hardware.
Unitree has announced the complete technical specifications of the H2 Plus humanoid robot.
Interested developers can visit the H2 Plus webpage for detailed technical information. Unitree H2 Plus will be available in late 2026.
The Nvidia Isaac GR00T platform and reference workflow for Unitree G1 are expected to be
available soon on GitHub and Hugging Face for robot developers.