Start with one small robotics task, build and test its software loop in simulation, then move to hardware when you know which sensors, actions, and interfaces the task needs. Simulation helps you iterate without a physical robot, but it does not prove that the system will work safely or perform the same way in the real world.
What should your first robotics prototype do?
Choose one bounded task
Pick a single outcome that can be checked, such as detecting an object and completing a basic pick-and-place, or navigating a simple route. Avoid starting with a broad goal like building a general-purpose robot: it is difficult to tell whether a complex system works when its success criteria are unclear.
Define success and the inputs it depends on
Write down what counts as success for your task and what the robot must observe and do. For pick-and-place, that might mean detecting the target, moving the arm to it, grasping it, and placing it in a defined area. List the sensor observations and robot actions needed for those steps. NVIDIA’s learning module demonstrates an obstacle-aware pick-and-place workflow in Isaac Sim, and says simulation can be used to develop, train, and test across varied environments without a physical robot: NVIDIA Physical AI learning module.
How do you choose a simulator and model the task?
Choose for the task, not a brand ranking
Isaac Sim is one option for this workflow, not the only valid robotics simulator. NVIDIA describes it as an open-source reference framework for robotics simulation, testing, and synthetic-data generation. Its capabilities include importing robot descriptions and CAD sources, assembling scenes, configuring physics and sensors, connecting ROS 2, and evaluating robot stacks: NVIDIA Isaac Sim overview.
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When choosing any simulator, check whether it supports the robot models, ROS 2 packages, sensor behavior, and physics relevant to your task. Also consider its compute and graphics requirements, whether you can access the physical hardware you may later use, and whether synthetic data or larger-scale robot learning is part of your goal. The NVIDIA material cited here describes Isaac Sim but does not establish a fair performance comparison with Gazebo or other simulators, so it does not support a universal ranking.
Build the simplest useful scene
Begin with only the robot, task objects, and environmental features needed to test your main assumptions. Import or assemble the robot model, add the sensors your task depends on, and configure the scene’s physics. More scene detail is useful only when it tests something relevant to the task; the first model should make it possible to exercise the perception and control loop, not recreate every detail of a real workspace.
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How do you connect the simulation to your robotics software?
Use ROS 2 as the integration path in the documented Isaac Sim workflow
Isaac Sim connects to ROS 2 through its ROS 2 bridge. NVIDIA’s documentation recommends ROS 2 Humble and Jazzy; it describes support for other locally installed ROS 2 distributions on Ubuntu 22.04 or 24.04 as experimental. The same documentation says ROS 1 is deprecated: Isaac Sim ROS 2 documentation.
Check the exact software combination before installing
Do not assume that an Isaac Sim recommendation also applies to Isaac ROS. They are separate products with distinct version guidance. The Isaac ROS getting-started page says its packages are designed and tested for ROS 2 Lyrical, while the Isaac Sim documentation recommends Humble and Jazzy. A separate NVIDIA course setup page specifies Ubuntu 22.04, ROS 2 Humble, and Isaac Sim 5.0 or 5.1 for that course only: NVIDIA course setup.
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Use the course requirements only if you are following that course. Before installing, check the current requirements for the exact Isaac Sim, Isaac ROS, ROS 2, operating system, GPU or Jetson model, driver, and CUDA versions you plan to combine.
What compatibility requirements should you check?
The Isaac ROS getting-started page lists the following supported configurations. These are the page’s stated requirements, not a general minimum for all robotics prototypes or a guarantee that a separate Isaac Sim setup will be compatible. Software and hardware support can change, so verify the live matrix before choosing equipment: NVIDIA Isaac ROS Getting Started.
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| Isaac ROS platform | Requirements stated on the page | ROS 2 guidance |
|---|---|---|
| x86_64 | Ampere-or-higher NVIDIA GPU architecture; at least 8 GB RAM; Ubuntu 24.04; CUDA 13.2 or later; NVIDIA driver 595 or later; and at least 32 GB available disk space. | Isaac ROS packages are designed and tested for ROS 2 Lyrical. |
| Jetson | Jetson Thor or Orin with JetPack 7.2 and at least 128 GB NVMe SSD. | Isaac ROS packages are designed and tested for ROS 2 Lyrical. |
These figures are a snapshot of the Isaac ROS support page as of October 7, 2026. They do not make Jetson Orin a requirement for every prototype: they describe supported Isaac ROS platforms, while the appropriate computer depends on the task and the stack you select.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you build and test the simulated loop?
- Represent the task in the scene. Add the robot, objects, and only the environmental conditions that matter to the success criteria you defined.
- Connect observations and actions. Use the simulator’s sensor outputs and robot controls in your software loop. For Isaac Sim, connect through the ROS 2 bridge and use a ROS 2 distribution supported by the versions you selected.
- Test perception and control together. Check that the robot observes the relevant parts of the scene and that its actions advance the task. A perception result alone is not task completion; follow it through the robot’s movement or manipulation.
- Vary the situations that could change the result. Use simulation to test different relevant arrangements and conditions, and keep track of assumptions about sensors, timing, control, and failures. Those assumptions may not hold on physical hardware.
- Use synthetic data when it serves the task. Isaac Sim supports synthetic-data generation, which can be useful when your development requires generated sensor examples. It is an available capability, not a requirement for every prototype.
NVIDIA describes software-in-the-loop and hardware-in-the-loop evaluation as options in its Isaac Sim overview. Treat these as testing stages in a development process, not as certification that a robot is safe or that simulated performance will carry over unchanged to the real system.
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When should you move from simulation to physical hardware?
Move when the software interfaces and task are clear
Hardware becomes useful when you need to evaluate behavior that depends on the real robot, sensors, or onboard computer. Choose the robot, sensors, and compute platform according to the task rather than buying equipment before you know what the prototype must sense and do. Jetson Orin is listed as an Isaac ROS platform, but the cited documentation does not say it is necessary for every physical prototype.
Validate the real system rather than assuming a transfer
Run the task on the selected hardware and compare its behavior with the assumptions you tested in simulation. Pay particular attention to the sensor observations, timing, control response, and failure cases you recorded. A simulated success is evidence that the software worked under the modeled conditions; it is not proof of equivalent real-world performance or safety.
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