RLWRLD Unveils RLDX-1, a Dexterity-First Foundation Model for Humanoid Robots

PRESS RELEASE — RLWRLD, a physical AI company developing robotics foundation models for dexterous manipulation, unveiled RLDX-1 at “Dexterity Night in SF,” introducing a model designed to help humanoid robots perform contact-rich tasks such as grasping, pouring and tool use. The company also reported benchmark results across humanoid tabletop, kitchen manipulation and real-world coffee-pouring evaluations, and said the model runs across multiple robot embodiments including WIRobotics’ ALLEX humanoid, Franka Research 3 and OpenArm.

At the launch event, Amit Goel, Head of Robotics Ecosystem and Edge AI Product at NVIDIA, took the stage and said: “RLWRLD is one of the core partners in the physical AI ecosystem we are building at NVIDIA.” RLDX-1 was developed on the NVIDIA stack — including NVIDIA Isaac GR00T, NVIDIA Isaac Lab, NVIDIA Isaac Sim and cuRobo for simulation; NVIDIA AI infrastructure with Hopper GPUs for training; and NVIDIA Jetson AGX Thor with NVIDIA TensorRT for inference.

RLWRLD’s debut event brought together senior leaders from NVIDIA alongside top humanoid hardware and AI infrastructure companies — including WIRobotics, Enactic, Origami Robotics and Proception AI — signaling the formation of a new alliance built around dexterous manipulation. RLDX-1 is the world’s first foundation model designed from the ground up with a “Dexterity-First” philosophy, a direct response to what RLWRLD CEO Junghee Ryu calls the real bottleneck of the humanoid era.

“Robot AI so far has been stuck on ‘seeing’ and ‘talking,’” Ryu said during his keynote. “If robots are going to do real work in factories, kitchens and warehouses, they need to grasp, feel and hold on. RLDX-1 was built from day one to fill that gap.”