FS Studio

🚀 FS Studio: Senior Rust Engineering Meets Mission-Critical Compliance (ITAR Ready) The future of system development demands speed, safety, and uncompromising security—and that means Rust. For projects where national security is at stake, it also means ITAR compliance. At FS Studio, we are not just experts in memory-safe, high-performance code; we are specialists in delivering projects under the most stringent regulatory frameworks. We are thrilled to announce the immediate availability of our elite, dedicated Rust development team. This is a squad of highly senior, rigorously vetted architects bringing decades of combined experience in building production-grade, secure, and compliant software. Secure Systems. Certified Delivery. Our team has established and documented processes to handle ITAR-controlled technical data with the highest level of assurance. This includes: US Person-Only Access: All developers on this team are U.S. Persons, ensuring strict adherence to the "deemed export" rule. Secure Infrastructure: Leveraging controlled access environments (e.g., specific GovCloud instances) for all technical data and source code. Audit-Ready Development: Implementing rigorous access controls, continuous monitoring, and comprehensive record-keeping protocols necessary for defense-related contracts. Core Competencies in Rust: We leverage Rust’s intrinsic security features to future-proof your systems while meeting crucial export controls. We are ready to take on projects in: High-Assurance Systems: Building low-latency backends for critical infrastructure. Aerospace & Defense Software: Developing secure flight control, sensor processing, or communications systems. Embedded Systems: Crafting reliable, safe, and efficient firmware where memory bugs are unacceptable. The Value Proposition: Hiring our team means gaining architectural excellence and guaranteed compliance from day one. We drastically reduce the compliance risk, increase your speed to market, and ensure your product is built on a future-proof, foundationally sound, and legally secure codebase. Ready to launch your next mission-critical project with unparalleled confidence? Call to Action: DM us directly or comment "ITAR-RUST" below to book a confidential consultation with our technical and compliance lead. Let's discuss engineering your competitive advantage. #Rust #ITAR #DefenseTech #SystemsProgramming #CUI #Aerospace #SeniorDevelopers #FSSudio

Here is the latest video from Muammer Bay AKA LycheeAI that dives into one of the most powerful workflows in NVIDIA Isaac Sim and Omniverse, creating synthetic data for palletizing simulations. If you’re building AI robots, testing computer vision models, or exploring automation, this one’s for you. In this video Lychee AI walks you through how to: - Set up a palletizing task in Isaac Sim - Configure synthetic data generation tools - Capture and export datasets ready for AI training This is important because synthetic data is the foundation for training robust, adaptable AI systems. It lets you simulate thousands of real-world scenarios, different lighting, materials, and movement, without touching a single piece of hardware. Whether you’re in manufacturing, logistics, or robotics, this workflow shows how to accelerate AI development safely and efficiently. Check out the video in the post and see how NVIDIA Omniverse + Isaac Sim are shaping the future of intelligent automation. You can also find this video along with other Lychee AI videos on our YouTube page using the link below. https://lnkd.in/gzdhZYv9 #IsaacSim #Omniverse #SyntheticData #Palletizing #DigitalTwin #Robotics #ComputerVision #AITraining #SmartFactory #Automation

We just wrapped an incredible digital twin warehouse automation project built with NVIDIA Omniverse and ROS2, and it’s now live as a full case study. Our team at FS Studio developed a scalable warehouse simulation showing how AGVs, conveyors, and turntables can be modeled, tested, and optimized in a virtual environment before physical deployment. The results proved how simulation-first design accelerates automation, reduces risk, and creates a foundation for smarter, data-driven operations. This is what industrial automation looks like, real-time visualization, AI-enabled decision-making, and digital twins that fix tomorrow’s problems today. Check out the full case study to see how we’re helping enterprises move from concept to scalable automation using Omniverse and simulation-based design. #FSStudio #DigitalTwin #Omniverse #WarehouseAutomation #Simulation #IndustrialAI #SmartFactory #Robotics

Boosting OpenVLA 7B Performance in Robotic Manipulation We recently tested the OpenVLA 7B foundation model inside NVIDIA Isaac Sim using a Franka Emika robot arm to evaluate its ability to grasp everyday objects. The goal was simple: understand how far generalist foundation models can go in manipulation tasks without any domain specific training. -The setup: The robot was tasked with grasping a Coca Cola can, a familiar object for the model’s training distribution. In 10 experiments without any fine tuning, the robot was able to move its end effector close to the object but failed to execute a single successful grasp, resulting in 0% success. -After LoRA fine tuning with synthetic data: We fine tuned OpenVLA using a small synthetic dataset generated entirely in simulation. After this lightweight training step, the results improved dramatically, and the robot began to consistently approach, align, and grasp the can correctly, achieving around 70% success. -Key insight: This experiment shows that even large scale foundation models like OpenVLA can benefit significantly from small, targeted fine tuning sessions using synthetic data. With minimal compute and zero real world data, it is possible to adapt general models into task specific robotic policies that perform far more reliably in simulation and are closer to deployment ready in the real world. #Robotics #OpenVLA #IsaacSim #SyntheticData #EmbodiedAI #FoundationModels #FrankaEmika #LoRA #AIinRobotics #Manipulation #Simulation

The latest blog post from Bobby Carlton outlines the importance of robotic simulation before buying the hardware, and he walks you through the tools we use to deliver robotic sim solutions for our clients. #RoboticSimulation #DigitalTwins #Automation #NVIDIAOmniverse #UnrealEngine #SyntheticData #Warehousing #Robotics #AI #Logistics #SmartManufacturing #IndustrialAutomation

Every robot should learn in the virtual world before it ever touches the real one. The Momoi @factory project embodies that idea — an open-source virtual factory simulation built to accelerate robotics and automation research. It combines NVIDIA Omniverse, ROS (Robot Operating System), and modern simulation tools to let developers prototype, test, and iterate entire factory workflows before any hardware exists. Inside @factory, engineers can: • Build and test robotic arms, AGVs, and production lines in realistic environments • Integrate with ROS topics to evaluate real control algorithms • Simulate complex logistics, assembly, and manufacturing processes • Visualize digital twins of factories to assess performance, timing, and safety It’s more than a tech demo — it’s a framework for the next generation of simulation-first robotics development. At FS Studio, we’ve been deeply focused on this same philosophy — enabling high-fidelity, physics-accurate, visually rich simulation environments that shorten deployment time and bridge the gap between research and reality. Projects like @factory validate how critical these tools are becoming across manufacturing, logistics, and industrial automation. Explore the project here: https://momoi.org/?p=499 #Simulation #DigitalTwin #Robotics #AI #OpenSource #Industry40 #Omniverse #ROS #FSSimReady #FSStudio

Robotics is evolving fast — and the line between walking and manipulating is starting to blur. That’s exactly what ReLIC — Reinforcement Learning for Interlimb Coordination — is designed to achieve. It’s a new framework that allows robots to dynamically decide which limbs are used for locomotion and which for manipulation, adapting on the fly to whatever task they face. ReLIC separates locomotion and manipulation into two cooperating modules: • A model-based manipulation module that focuses on precision and goal-driven control. • An RL-based locomotion module that maintains balance and stability in motion. The result is a system that can seamlessly blend walking, climbing, and handling — letting a robot use an arm for balance one moment and for manipulation the next. Why it matters: • Enables true interlimb coordination, where movement and control are fluid, not predefined. • Helps robots stay stable and effective in unstructured environments. • Bridges the gap between how animals move and how machines learn. At FS Studio, this kind of approach aligns directly with our mission — building high-fidelity simulations, realistic physics, and learning workflows that make intelligent agents more adaptable, capable, and grounded in the real world. https://lnkd.in/gGstETf8 #AI #ReinforcementLearning #Robotics #Simulation #DigitalTwin #FSStudio

Incredible to see NVIDIA and Ansys advancing the workflow that unites simulation, physics, and AI. 👏 At FS Studio, we’re building on this same foundation — using high-fidelity physics environments to train, test, and fine-tune intelligent systems before they ever touch the real world. These kinds of integrations are key to shrinking the gap between digital simulation and physical reality — exactly where the next generation of robotics and AI innovation will happen.

Great insights from Tim Martin on the importance of realistic physics in AI training. The new Newton physics engine in NVIDIA’s Isaac Lab is a huge leap toward bridging the gap between simulation and reality — modeling granular soil, fabric, contact dynamics, and other complex physical behaviors that traditional sims have long simplified. These advances in physics intrinsics enable smarter imitation and reinforcement learning, and make fine-tuning inference models faster, more reliable, and more aligned with real-world conditions. At FS Studio, this is exactly the kind of innovation we’re building on — creating high-fidelity simulation environments where AI can learn, adapt, and behave robustly in the real world. #AI #Robotics #Simulation #DigitalTwin #SyntheticData #IsaacSim #Newton #FSStudio

Robots have been showing off for years....dancing, backflipping, folding towels like they’re auditioning for a talent show. Cool, but not exactly game-changing. This week’s newsletter (yes, you’re getting it on a Monday) digs into why the robotics world feels different right now. NVIDIA Omniverse’s building smarter playgrounds, Google DeepMind’s giving robots real reasoning skills, and industry vets are calling out what actually matters. Plus, a certified fresh FS Studio case study that you will find very interesting. Robots aren’t just flexing anymore, they’re getting ready to work.