Neura Robotics, which focuses on cognitive robotics development, has joined the Nvidia Humanoid Robot Developer Program and is using the Nvidia Isaac robot development platform with its Neuraverse platform to speed up the development and deployment of cognitive and humanoid robots. Cognitive robotics is a subfield of robotics centered on the application of intelligence to robots using a processing architecture that allows the robot to learn how to behave in response to complex goals.
The Neura product portfolio includes the Lara series of cobots for industrial applications, the Maira cognitive cobot, mobile robots and manipulators, and the 4NE-1 humanoid robot. According to Neura Robotics, the application of these robot technologies with Nvidia’s Isaac simulations will provide robotic system developers with “a diverse robot portfolio based on a single AI-integrated platform connected through Neura Robotics’ Neuraverse web platform for ecosystem collaboration, which benefits from the integration of capabilities offered by Nvidia Isaac.”
Driving this adoption of Nvidia Isaac simulation technologies is Neura Robotics’ plan to deliver up to five million humanoid and cognitive robots worldwide by 2030. According to the company, training for various applications in diverse real-world environments would entail time-consuming processes. Through the Nvidia Humanoid Robot Developer Program, Neura Robotics is using Nvidia Isaac Sim and Isaac Lab capabilities to simulate more robots in parallel using reinforcement learning (a type of machine learning centered on how an intelligent agent — in this case, a robot — should take responsive action), which it considers crucial for data-intensive deep learning models.
Nvidia Isaac Sim on AWS
Meanwhile, companies like Vention, which creates pretrained skills to ease development of robotic tasks, and Cobot, which offers Proxie, an AI-powered cobot designed to handle material movement and adapt to dynamic environments, are using Nvidia Isaac Sim on Amazon Web Services.
Nvidia recently announced that its Isaac Sim technology now runs on Amazon Elastic Cloud Computing G6e instances accelerated by Nvidia L40S GPUs. Coupled with Nvidia Osmo, a cloud-native orchestration platform, Nvidia says developers can more easily manage their complex robotics workflows across their AWS computing infrastructure.
This combination of Nvidia-accelerated hardware and software allows teams of any size to scale their physical AI workflows, which describe AI models that can understand and interact with the physical world. Nvidia says physical AI embodies the next wave of autonomous machines and robots, such as self-driving cars, industrial manipulators, mobile robots, humanoids and even robot-run infrastructure like factories and warehouses.
Several robotics developers are using Nvidia Isaac on AWS to develop physical AI, such as:
- Cobot has used Isaac Sim with its AI-powered Proxie cobot to optimize logistics in warehouses and manufacturing sites.
- Cohesive Robotics has integrated Isaac Sim into its software framework called Argus OS for developing and deploying robotic workcells used in high-mix manufacturing environments.
- Field AI, a builder of robot foundation models, uses Isaac Sim and Isaac Lab to evaluate the performance of its models in complex, unstructured environments across industries such as construction, manufacturing, oil and gas, mining and more.
- Standard Bots is simulating and validating the performance of its R01 robot used in manufacturing and machining setup.
- Swiss-Mile is using Isaac Sim and Isaac Lab for robot learning so that wheeled quadruped robots can perform tasks autonomously with new levels of efficiency in factories and warehouses.
- Vention, which offers a full-stack cloud-based automation platform, is using Isaac Sim for developing and testing new capabilities for robot cells used by small to medium-size manufacturers.
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