FS Studio

The "Sim-to-Real" gap isn't just about generative scenes or great visuals—it’s about understanding the underlying physics of the world. If we want Physical AI to operate safely in human environments, we can’t rely solely on sparse real-world data. We need to train on better priors. At FS Studio our Synthetic Prior Pipeline, we’re building high-fidelity video sequences that combine: -Physics-accuracy: Real-world dynamics, not just "looks right" animation. -Massive scale: The edge cases you can’t wait to happen in real life. Visual realism: High-res data that bridges the gap for vision-language models. Don't just train your model. Strengthen its foundation. Contact us! [email protected] #PhysicalAI #Robotics #SyntheticData #WorldModels #MachineLearning

High-fidelity simulation is only as good as the assets within it. If your 3D models aren't "Sim-Ready," your training results won’t translate to the real world. Our assets are optimized for MuJoCo and Isaac Sim to ensure physics accuracy from the first frame. The specs: -Optimized URDF/XML compatibility -Physically-based rendering (PBR) -Accurate mass properties & collision geometry Precision matters. Bridge the Sim-to-Real gap today. For more information: 📩 [email protected]

Your task list grew. Your operator pool didn't. We staff, train and run a US teleop team for your robot, ready within weeks.

Simulation and data built from your environment, for robotics teams.

Some of the demonstrations your models are missing need the robot. Some don't. When you need data in the robot's own joints and cameras, an operator runs the task by teleoperation, on your robots, in your lab or facility. For more environment diversity, a person does the task with a head-mounted camera, and the first-person recording is the data. Our RobotOps teams run both against your written brief, with session records and a quality and coverage report. Your data stays under your control. No pooling, no resale. Bring one task. We'll scope a pilot batch: https://lnkd.in/df9nHkz4 #RobotOps #Teleoperation #EgocentricData #RobotLearning #PhysicalAI

Teleop on your robot, UMI or egocentric capture in your environment. Delivered in your format. Never pooled or resold.