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Researchers requiring a tool to accelerate the development and deployment of AI-powered robotic systems across various applications
About NVIDIA Isaac
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines.
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NVIDIA Isaac GR00T
NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research-driven platform for developing general-purpose humanoid robot foundation models and data pipelines. It includes models like Isaac GR00T-N, and synthetic motion blueprints, GR00T-Mimic for augmenting demonstrations, and GR00T-Dreams for generating novel synthetic trajectories, to accelerate humanoid robotics development. Recently, the open source Isaac GR00T N1 foundation model debuted, featuring a dual-system cognitive architecture, a fast-reacting “System 1” action model, and a deliberative, language-enabled “System 2” reasoning model. The updated GR00T N1.5 introduces enhancements such as improved vision-language grounding, better language command following, few-shot adaptability, and new robot embodiment support. Together with tools like Isaac Sim, Lab, and Omniverse, GR00T empowers developers to train, simulate, post-train, and deploy adaptable humanoid agents using both real and synthetic data.
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NVIDIA Isaac Lab
NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.
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T-Plan Robot
T-Plan Robot automates scripted user actions for Test Automation or Robotic Process Automation (RPA) on Mac, Windows Linux & Mobile.
T-Plan develops and sells two main toolsets. 1) Test Automation and 2) Robotic Process Automation (RPA).
T-Plan Robot is a highly flexible, easy to use, image-based black box GUI automation tool that creates robust automated scripts and exercises applications in the same way as would an end-user.
T-Plan Robot is platform-independent (Java) and runs on, and automates all major systems such as Windows, Mac, Linux and Unix plus mobile platforms. We believe we have a solution for any environment.
GUI automation interacts with your business sponsor and development teams throughout the whole project lifecycle. Working intuitively at the screen level business analysts can help testers drive testable paths through the application, whilst at the same time combining with the development team to define repeatable actions to test code in continuous development.
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.
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NVIDIA
Founded: 1993
United States
developer.nvidia.com/isaac
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