Nvidia recently showcased what they described as the industry’s first full-stack safety platform for physical AI designed to accelerate the deployment of humanoid robots in industrial environments.
The company said its expanded Halos platform combines AI compute, system software, sensors and inspection tools into a single safety architecture aimed at helping robotics companies build and certify autonomous systems operating alongside human workers.
The chipmaker explained as robots become more autonomous and increasingly rely on AI foundation models, distributed sensors and accelerated computing, “scaling these systems requires a full-stack safety architecture” before they can be trusted to work alongside humans in factories, warehouses and logistics operations.
The stack includes Nvidia’s IGX Thor industrial computing platform, Holoscan Sensor Bridge for sensor connectivity and Halos OS software stack.
Nvidia also opened its Halos AI Systems Inspection Lab to robotics partners, aiming to help them complete pre-certification testing and validate safety systems before approaching regulators.
Digit
Humanoid robotics company Agility Robotics is the first partner to adopt elements of the platform into the proprietary safety system for its Digit humanoid robot, which is already being deployed for industrial applications with customers including Amazon, Schaeffler and Toyota Motor Manufacturing Canada.
The robotics player will also use Nvidia’s Inspection Lab to validate Digit’s safety-related software, AI components and cybersecurity protections against strict standards.
Agility Robotics CEO Peggy Johnson said: “For humanoids to deliver value at scale, safety has to be built into the robot and validated across the entire system.”
She added the partnership with Nvidia “extends our leadership in responsible automation”, describing it as “a non-negotiable requirement for bringing humanoids safely into industrial workflows”.
Deepu Talla, VP of robotics and edge AI at Nvidia said: “Physical AI is transforming how factories, warehouses and logistics operations work. He added developers will be able to “harness Nvidia’s proven autonomous vehicle safety foundation to develop safer robots faster” and deploy systems “alongside workers with greater confidence”.
Source: Mobile World Live
Image Credit: NVIDIA
Source: Tahawul Tech