FS Studio
Bobby Carlton leads business development at FS Studio, where he works with robotics, autonomy, and manufacturing teams to figure out what they actually need from simulation before a single asset gets built. His view is that the next chapter of immersive technology is not a headset. It is the physical world learning to think.That work sits at the point where robots, digital twins, and synthetic data stop being separate disciplines and become one: teaching machines to understand and act in real environments. He spends his time on the practical end of it, translating between the engineers building high-fidelity simulation and the operators who have to justify it on a plant floor, in a warehouse, or across a fleet.On the FS Studio blog he writes DigiTalk, a running look at how Physical AI is being built right now. The posts cover embodied reasoning, teleoperation data, humanoid reliability, sim-to-real transfer, and the tooling underneath it, including NVIDIA Omniverse, MuJoCo, and OpenUSD. No hype, no roadmap fan fiction, just what changed and what it means for teams shipping real systems.Bobby is based in Albany, New York, and studied at the State University of New York at Albany.
By Bobby Carlton On July 28, 2026, the FCC added foreign-produced advanced robotic devices to its Covered List. Most coverage called it a ban on Chinese humanoid robots. The real
Embodied Reasoning Is Manufactured, Not Discovered By Bobby Carlton Embodied reasoning is the term you’re going to hear a lot over the next year, so let’s get ahead of it
By Bobby Carlton Where Humanoid Robot Reliability Actually Comes From Humanoid robot reliability crossed a threshold this spring, and if you run a warehouse, a plant, a farm, or a
Why Teleoperation Data Can’t Be Faked. By Bobby Carlton Teleoperation data is the quiet force running the entire robotics industry right now, and most people outside it have never heard
What Better Robot Simulation Actually Means for Your Floor By Bobby Carlton Here’s something that flew under the radar for most people outside the robot simulation weeds. NVIDIA, Google DeepMind,
Data is the unsung hero behind every robotic revolution, it’s the raw fuel that turns metal and code into smart, adaptable automation. If you’re thinking robotics is just stiff arms
Machine Learning Meets Computer Vision: How Synthetic Data and Simulation Are Powering the Future of Robotics Have you ever wondered how robots learn to do things? This is a question
While generative AI is mainly known for its ability to create text-based models, it is also advancing the field of synthetic data creation. This is allowing for the faster incorporation
Good chance you’re hearing a lot of conversation around a technology called Gaussian splatting (or splats) along with the latest advancements in NeRFs and technologies revolutionizing 3D scene rendering. With
Inside FS Studio’s Digital Twin Warehouse Automation Project Built with NVIDIA Omniverse Modern manufacturing and logistics depend on precision, timing, and adaptability. Yet testing automation systems in the real world