NVIDIA Unveils Generative AI Tools and Enhanced Simulation for ROS Developers at ROSCon

NVIDIA : Brings Generative AI Tools, Simulation and Perception Workflows to ROS Developer Ecosystem

At ROSCon in Odense, one of Denmark's oldest cities and a hub of automation, NVIDIA and its robotics ecosystem partners announced generative AI tools ,simulation, and perception workflows for Robot Operating System (ROS) developers. Among the reveals were new generative AI nodes and workflows for ROS developers deploying to the NVIDIA Jetson platform for edge AI and robotics. Generative AI enables robots to perceive and understand the context of their surroundings, communicate naturally with humans and make adaptive decisions autonomously. ReMEmbR, built on ROS 2, uses generative AI to enhance robotic reasoning and action. It combines large language models (LLMs), vision language models (VLMs) and retrieval-augmented generation to allow robots to build and query long-term semantic memories and improve their ability to navigate and interact with their environments. Developers can get started today with ROS 2 Nodes for Generative AI, which brings NVIDIA Jetson-optimized LLMs and VLMs to enhance robot capabilities. Simulation is critical to safely test and validate AI-enabled robots before deployment. NVIDIA Isaac Sim, a robotics simulation platform built on OpenUSD, provides ROS developers a virtual environment to test robots by easily connecting them to their ROS packages. A new Beginner's Guide to ROS 2 Workflows With Isaac Sim, which illustrates the end-to-end workflow for robot simulation and testing, is now available. Foxglove, a member of the NVIDIA Inception program for startups, demonstrated an integration that helps developers visualize and debug simulation data in real time using Foxglove's custom extension, built on Isaac Sim. NVIDIA Isaac ROS, built on the open-source ROS 2 software framework, is a suite of accelerated computing packages and AI models for robotics development. The upcoming 3.2 release enhances robot perception, manipulation and environment mapping. Key improvements to NVIDIA Isaac Manipulator include new reference workflows that integrate FoundationPose and cuMotion to accelerate development of pick-and-place and object-following pipelines in robotics. Another is to NVIDIA Isaac Perceptor, which features a new visual SLAM reference workflow, enhanced multi-camera detection and 3D reconstruction to improve an autonomous mobile robot's (AMR) environmental awareness and performance in dynamic settings like warehouses. Robotics companies are integrating NVIDIA Isaac accelerated libraries and AI models into their platforms. Additionally, Teradyne Robotics and NVIDIA are co-hosting a lunch and evening reception on Tuesday, Oct. 22, in Odense, Denmark. The Open Source Robotics Foundation (OSRF) organizes ROSCon. NVIDIA is a supporter of Open Robotics, the umbrella organization for OSRF and all its initiatives.

NVIDIA Brings Generative AI Tools, Simulation and Perception Workflows to ROS Developer Ecosystem

Updates announced at ROSCon aim to accelerate development of AI-powered robot arms and autonomous mobile robots. At ROSCon in Odense, one of Denmark's oldest cities and a hub of automation, NVIDIA and its robotics ecosystem partners announced generative AI tools ,simulation, and perception workflows for Robot Operating System (ROS) developers. Among the reveals were new generative AI nodes and workflows for ROS developers deploying to the NVIDIA Jetson platform for edge AI and robotics. Generative AI enables robots to perceive and understand the context of their surroundings, communicate naturally with humans and make adaptive decisions autonomously. Generative AI Comes to ROS Community ReMEmbR, built on ROS 2, uses generative AI to enhance robotic reasoning and action. It combines large language models (LLMs), vision language models (VLMs) and retrieval-augmented generation to allow robots to build and query long-term semantic memories and improve their ability to navigate and interact with their environments. Developers can get started today with ROS 2 Nodes for Generative AI, which brings NVIDIA Jetson-optimized LLMs and VLMs to enhance robot capabilities. Enhancing ROS Workflows With a 'Sim-First' Approach Simulation is critical to safely test and validate AI-enabled robots before deployment. NVIDIA Isaac Sim, a robotics simulation platform built on OpenUSD, provides ROS developers a virtual environment to test robots by easily connecting them to their ROS packages. A new Beginner's Guide to ROS 2 Workflows With Isaac Sim, which illustrates the end-to-end workflow for robot simulation and testing, is now available. Foxglove, a member of the NVIDIA Inception program for startups, demonstrated an integration that helps developers visualize and debug simulation data in real time using Foxglove's custom extension, built on Isaac Sim. New Capabilities for Isaac ROS 3.2 NVIDIA Isaac ROS, built on the open-source ROS 2 software framework, is a suite of accelerated computing packages and AI models for robotics development. The upcoming 3.2 release enhances robot perception, manipulation and environment mapping. Key improvements to NVIDIA Isaac Manipulator include new reference workflows that integrate FoundationPose and cuMotion to accelerate development of pick-and-place and object-following pipelines in robotics. Another is to NVIDIA Isaac Perceptor, which features a new visual SLAM reference workflow, enhanced multi-camera detection and 3D reconstruction to improve an autonomous mobile robot's (AMR) environmental awareness and performance in dynamic settings like warehouses. Partners Adopting NVIDIA Isaac Robotics companies are integrating NVIDIA Isaac accelerated libraries and AI models into their platforms. Additionally, Teradyne Robotics and NVIDIA are co-hosting a lunch and evening reception on Tuesday, Oct. 22, in Odense, Denmark. The Open Source Robotics Foundation (OSRF) organizes ROSCon. NVIDIA is a supporter of Open Robotics, the umbrella organization for OSRF and all its initiatives.