Richtech Robotics launches Dex mobile humanoid robot

Nevada-based provider of AI-driven service robots, Richtech Robotics, unveiled Dex, the company’s first mobile humanoid robot for industrial use.

Accelerated by NVIDIA Jetson Thor, Richtech Robotics said that Dex is capable of operating in dynamic environments, adapt with real time reasoning, and perform complex tasks with detailed precision, all while operating for a full workday on a single charge.

Richtech and NVIDIA create practical versatility

Richtech is using NVIDIA technology to accelerate Dex’s training across diverse industrial and commercial contexts.

By combining real-world data with the NVIDIA Isaac Sim open, reference robotics simulation framework Richtech said that Dex is able to learn tasks virtually, and implement behaviors into a live industrial environment. This “Sim2Real” pipeline shortens deployment cycles, enhances safety and enables faster scaling of new robotic applications.

Richtech said that Dex builds on insights from its more than 450 robot deployments nationwide.

It combines the autonomous mobile robot (AMR) technology of Richtech’s Titan delivery series with the two-armed precision of the ADAM service robot line, creating a platform that’s designed to be both mobile and dexterous. Driven by both engineering and operational efficiency, Richtech opted for wheels rather than legs. Dex’s wheeled AMR platform is designed to run for hours on a single charge and deliver fast braking, tight maneuvering and stability in shared human environments - all while maintaining significantly lower energy and maintenance costs.

“Humans are great at object manipulation, and wheels are best for fast, efficient, and stable transportation,” said Matt Casella, president of Richtech. “So we designed Dex to travel like a machine and perform tasks like a person. This practical approach gives Dex unmatched versatility and uptime, enabling us to solve real-world production challenges today.”

Dex features a four-hour battery life in mobile mode and can run continuously 24/7 from a static base. Its dual production arms feature modular end-effectors for hands, clamps or specialized tools. A four-camera vision system allows Dex to navigate and perform tasks in a rapidly changing environment.

From simulation to real-world deployment

Dex uses a combination of simulated learning and real-world reinforcement to adapt faster and perform more reliably in complex environments.

As more companies bring manufacturing back to the United States, Richtech said that Dex can offer a practical path to higher productivity without increasing labor strain. Dex can be trained with new data and adapted for specialized workflows, helping manufacturers scale operations efficiently and sustain domestic production.

To collect real-world data at scale, Richtech launched an American robotics data initiative.  “For years, America’s robotics industry has been constrained by a lack of regionally grounded data,” Casella said. “By investing in domestic training and large-scale data collection, we’re empowering the next generation of physical AI to be developed, refined, and led from right here in the United States.”

The company plans to eventually license portions of this dataset, supporting broader physical AI companies in the United States.

Dex in manufacturing, material handling

Dex can handle a wide range of light or medium industrial tasks, including:

• Machine operation for manufacturing
• Part sorting and material handling
• Quality inspection and packaging

Richtech said that these core capabilities make Dex an immediate productivity partner in manufacturing, logistics and other labor-intensive sectors.