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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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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