From human performance to humanoid robot training — the layer under the humanoid race. Alt text: Humanoid robot ready for custom motion capture data training at Apple Arts Studios The world's leading humanoid robotics and embodied-AI researchers are converging on Pittsburgh this week for IROS 2026 — the IEEE/RSJ International Conference on Intelligent Robots and Systems, September 27 to October 1 at the David Lawrence Convention Center. Figure AI, Boston Dynamics, Unitree, Ag

Your robot needs data — every format, every pipeline — motion capture data for humanoid robots Every robotics team we talk to asks the same first question: what formats do you deliver? It's a fair question — because the best capture in the world is worthless if the data lands in a shape your training pipeline can't use. Between BVH and FBX and CSV and NPZ and every custom skeleton, format is the quiet gatekeeper between a motion capture session and a robot that actually lear

From Studio to Humanoid: Motion Capture Data on a Unitree G1 Full-body and finger motion captured at Apple Arts Studios There's a big difference between capturing human motion and producing motion data a robot can actually use. In this post we'll show the full path — from a performer in our studio to a Unitree G1 humanoid picking up and handling objects — and explain why object manipulation is the part that separates usable robot training data from a good-looking render. The

Before a humanoid robot can walk across a room, lift a box, or work safely beside a person, it has to learn how. And almost always, it learns from a human first. That is the quiet foundation of the entire humanoid robotics and embodied AI wave: real human motion, captured with precision, turned into the training data that teaches machines how to move. In this article we'll walk through how that data is made, why robotics and AI teams around the world depend on it, and how we

Training a humanoid robot to move like a human needs one thing before anything else: real human motion, captured accurately and labelled cleanly. That data is hard to find, and most of what's freely available is small, noisy, or stripped of the detail that actually matters. So we did something about it. Apple Arts Studios has released a free 10-hour sample of our human motion capture dataset on Hugging Face — real, production-grade optical mocap you can download and test in y

Ask anyone building humanoid robots or physical AI what's slowing them down, and you'd expect the answer to be hardware — actuators, compute, batteries. It isn't. The real bottleneck is data. Specifically, high-quality human motion data: the ground-truth demonstrations a robot needs to learn how to move, balance, walk, and manipulate objects the way a person does. Without enough of it, even the most advanced humanoid stays clumsy. With it, models learn faster and generalize b

Human motion capture for humanoid robotics dataset production at Apple Arts Studios Apple Arts Studios produces high-fidelity human motion datasets for humanoid robotics, embodied AI, and physical AI — captured on a professional optical motion capture stage, validated, and delivered AI-ready. From activities of daily living to human-object interaction and locomotion, we capture the real human movement that trains the next generation of robots. For years, most people thought m

The biggest bottleneck in robotics today isn't compute — it's data. Every humanoid robot and embodied-AI model learns to move by watching how humans move. And that data can't be scraped from the internet. It has to be captured, with precision. Human motion capture stage producing ground-truth data for humanoid robotics At Apple Arts Studios, we produce the high-fidelity human motion data and human demonstration data that trains robots, embodied AI, and computer-vision systems

Apple Arts Studios is an AI Motion Dataset Production Company and Human Motion Data Provider based in Hyderabad, India — with over 15 years of motion capture experience and one of the largest motion capture facilities in Asia. We produce high-fidelity human motion data and human demonstration data for AI training, robotics, embodied AI, humanoid robots, and computer vision — captured on a 127-camera optical motion capture stage and delivered AI-ready. "Apple Arts Studios 127

Building Real-World Human Activity Datasets for AI Training At Apple Arts Studios, our focus continues expanding beyond traditional motion capture services into large-scale AI motion datasets designed for machine learning, robotics, computer vision, and human behavior modeling. Last week, our team completed a dedicated Household Activity AI Dataset Production focused on capturing real-world daily living actions using a full multimodal motion capture pipeline. Unlike cinematic

Last week at Apple Arts Studios didn’t follow the usual schedule. It didn’t stop. We moved beyond traditional motion capture production and stepped into something far more demanding — AI motion capture dataset production, built for machine learning and AI training pipelines. This wasn’t about capturing a performance for a scene. This was about capturing human movement at scale. When Motion Capture Becomes Data In film and game production, motion capture is about precision for