NVIDIA Making Moves Toward AI-Powered Autonomous Machines NVIDIA Making Moves Toward AI-Powered Autonomous Machines
BYD Electronics, Siemens, Teradyne Robotics, and Intrinsic, an Alphabet Company have confirmed that they are using the NVIDIA Isaac Robotics Platform... NVIDIA Making Moves Toward AI-Powered Autonomous Machines

BYD Electronics, Siemens, Teradyne Robotics, and Intrinsic, an Alphabet Company have confirmed that they are using the NVIDIA Isaac Robotics Platform for Autonomous Robot Arms, Humanoids, and Mobile Robots according to a post by the chip maker.

The NVIDIA Isaac platform offers advanced tools, including accelerated libraries, AI models, and simulation technologies. These are being integrated into the software frameworks and robot models of over a dozen robotics industry leaders.

As you can imagine, the aim is to enhance efficiency and safety in factories, warehouses, and distribution centers while providing intelligent assistance for repetitive or ultra-precise tasks by utilizing NVIDIA‘s in-house services.

The era of robotics has arrived. Everything that moves will one day be autonomous,” said Jensen Huang, founder and CEO of NVIDIA. “We are working to accelerate generative physical AI by advancing the NVIDIA robotics stack, including Omniverse for simulation applications, Project GR00T humanoid foundation models, and the Jetson Thor robotics computer.

Key Components of the NVIDIA Isaac Platform:

  • NVIDIA Isaac ROS: A collection of modular ROS 2 packages that brings NVIDIA-acceleration and AI models to ROS community developers.
  • NVIDIA Isaac Perceptor: A reference workflow that provides multi-camera, 3D surround-vision capabilities for AI-based autonomous mobile robots.
  • NVIDIA Isaac Manipulator: A reference workflow that simplifies the development of AI-enabled robot arms, allowing them to seamlessly perceive, understand, and interact with their environments.
  • NVIDIA Isaac Sim™: A reference application for simulating, testing, and validating robots in physically based environments, also useful for generating synthetic data.
  • NVIDIA Isaac Lab: An application optimized for reinforcement, imitation, and transfer learning for AI robot foundation model training.

Roland Busch, president and CEO of Siemens AG, stated, “AI-powered robots will accelerate the digital transformation of industry and take over repetitive tasks, unlocking human potential for more creative and valuable work.

Intrinsic, a robotics software and AI subsidiary of Alphabet, has tested Isaac Manipulator in its robot-agnostic platform, demonstrating scalable robotic-grasping skills across various environments and objects. Wendy Tan White, CEO of Intrinsic, remarked, “We couldn’t have found a better collaborator in NVIDIA, who are helping to pave the way for foundation models to have a profound impact on industrial robotics.

BYD Electronics (BYDE), a subsidiary of BYD Group, is developing a range of autonomous mobile robots using NVIDIA Isaac Sim and Perceptor to enhance factory logistics solutions. “BYDE has a strong focus on helping customers accelerate deployment of logistics applications,” said Chris Yotive, senior business development director of BYD Electronics.

Teradyne Robotics companies, Universal Robots (UR) and Mobile Industrial Robots (MiR), are leveraging NVIDIA Isaac for AI integration into automation. Ujjwal Kumar, group president of Teradyne Robotics, emphasized, “With NVIDIA Isaac’s advanced AI and simulation capabilities, we will push the envelope of innovation to achieve swift solutions for multiple industries.

So why is this platform becoming popular among robotics firms? It’s likely due to the modularity of the NVIDIA Isaac platform, which allows companies to adopt individual or several technologies together, facilitating tailored integration based on specific needs.

Currently, over 100 companies, including Hexagon, Husqvarna Group, and MathWorks, are adopting Isaac Sim for simulating, testing, and validating robotic applications, further showcasing the platform’s versatility and impact on the robotics industry.

With all of this, it’s clear that NVIDIA is hoping to become a major play in the future of robotic though enhanced automation, efficiency, and safety across various sectors.



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