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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 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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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 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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RTMaps
RTMaps (Real-time multisensor applications) is a highly-optimized component-based development and execution middleware. Thanks to RTMaps, developers can design complex real-time systems and perception algorithms for their autonomous applications such as mobile robots, railway, defense but also ADAS and Highly automated driving.
RTMaps is a versatile swiss-knife tool to develop and execute your application and offering multiple key benefits:
● Asynchronous data acquisition
● Optimized performance
● Synchronous recording and playback
● Comprehensive component libraries: over 600 I/O software components available
● Flexible algorithm development: Share and collaborate
● Multi-platform processing
● Cross-platform compatibility and scalable: from PC, Embedded targets, to the Cloud.
● Rapid prototyping and testing
● Integration with dSPACE tools
● Time and resource savings
● Limiting Development risks, errors and efforts.
● Certification ISO26262 ASIL-B: on demand
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NVIDIA
Founded: 1993
United States
developer.nvidia.com/isaac
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