NVIDIA Isaac Manipulator

NVIDIA Isaacâ„¢ Manipulator, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models.  It's designed to help robotics software developers build AI-enabled robot arms—or manipulators—that can perceive, understand, and interact with their environments. This gives you a powerful tool for accelerating solutions for dynamic challenges such as machine tending, high-mix bin picking, inspection, and assembly tasks.

You can integrate any of the Isaac Manipulator libraries or foundation models into your software stacks, bringing accelerated performance and accuracy to your own platforms.

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How Isaac Manipulator Works

Isaac Manipulator is comprised of NVIDIA® CUDA®-accelerated libraries, AI models, and reference workflows for robot developers. The software uses cuMotion, a motion planner running multiple trajectory optimizations simultaneously to return the best solution. Isaac Manipulator also uses state-of-the-art foundation models for 6D pose estimation and tracking of novel objects, as well as object detection in indoor environments.

A diagram showing  how NVIDIA Isaac Manipulator works

Key Features

Isaac Manipulator brings new levels of dexterity and modular AI capabilities to robotic arms that face limitations in handling intricate tasks and dynamic environments due to their limited adaptability. 

    Highly Accurate and Performant Modules

    Access a collection of advanced, modular packages that enable frictionless kinematics and AI perception for industrial robotic arms.

    Accelerated Robot Motion Generation

    NVIDIA cuMotion with a MoveIt extension lets you implement custom algorithmic modules without a large pipeline overhead. cuMotion is built with the help of NVIDIA cuRobo.

    Faster Development Time

    Speed up robotic task implementations with pretrained foundational models that can estimate and track poses of objects, predict ideal grasp points, run robotic arm trajectory optimizations, and more.


      cuMotion helps solve robot motion planning problems at scale

      cuMotion

      NVIDIA cuMotion is a CUDA-accelerated library that helps solve robot motion planning problems at scale by running multiple trajectory optimizations simultaneously to return the best solution.

      Learn More About cuMotion
      FoundationPose estimates and tracks the pose of unseen objects in warehouse

      FoundationPose

      This is a state-of-the-art foundation model for 6D pose estimation and tracking of novel objects. It gives you a new method for estimating and tracking the pose of unseen objects and is robust enough for challenging object properties (textureless, glossy, tiny), as well as scenes with fast motion or severe occlusions.

      Learn More About FoundationPose
      FoundationGrasp makes suction and parallel-jaw grasps on a 3D object

      FoundationGrasp

      Trained entirely on synthetic data, FoundationGrasp is a performant transformer model that makes dense grasp predictions given an unknown 3D object asset. These grasps can then be executed on the robot with a motion generator such as cuMotion. The model currently supports suction and parallel-jaw grasps. 

      Coming Soon

      SyntheticaDETR detects bottles on a table in an office

      SyntheticaDETR

      This pre-trained model for object detection in indoor environments allows faster detection, rendering, and training of new objects. It can also be used as a front end to pose estimators like FoundationPose, so it can localize objects using 2D bounding boxes before pose estimation.

      Learn More About SyntheticaDETR

      Open Ecosystem

      Built on ROS

      NVIDIA Isaac Manipulator is built on the open-source ROS 2 (Robot Operating System) software framework. This lets the millions of developers in the ROS community easily take advantage of NVIDIA-accelerated libraries and AI models to accelerate their AI robot development and deployment workflows.

      Learn More About Isaac ROS
      Open Robotics ROS logo

      Create, Design, and Deploy Robotics Applications Using New NVIDIA Isaac Foundation Models and Workflows | NVIDIA Technical Blog


      Isaac Manipulator Learning Library

      Guide

      Isaac Manipulator: Overview

      Get started with an introduction to the basics of Isaac Manipulator.

      Tech Blog

      Create, Design, and Deploy Robotics Applications Using NVIDIA Isaac Workflows

      Learn more about the AI features used to accelerate the development of robotic arms.

      Tech Blog

      Automating Pick-and-Place With Intrinsic Flowstate and NVIDIA Isaac Manipulator

      Learn how we collaborated with Intrinsic to automates pick-and-place tasks for metallic parts in cluttered industrial environments.


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        Ecosystem

        Our industry partners are integrating NVIDIA Isaac Manipulator and accelerated computing into their platforms and solutions.

         NVIDIA Isaac Manipulator Ecosystem and Industry partner - Franka Robotics
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Intrinsic
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Miso Robotics
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Picknik
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Solomon
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Techman
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - UR / MIR / Teradyne Robotics
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Vention
        NVIDIA Isaac Manipulator Ecosystem and Industry partner - Yaskawa

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        Get started today with NVIDIA Isaac Manipulator.

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