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README.md
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title: README
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---
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title: README
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<style>
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.io-hero { margin: 0 0 1.1rem 0; }
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.io-kicker { font-size: 0.78rem; letter-spacing: 0.08em; text-transform: uppercase; opacity: 0.7; margin: 0 0 0.35rem 0; }
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@media (min-width: 720px) { .io-grid { grid-template-columns: 1fr 1fr; } }
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.io-card { border-radius: 14px; overflow: hidden; border: 1px solid rgba(128,128,128,0.22); background: #111; color: #f4f4f4; display: flex; flex-direction: column; }
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.io-card img { width: 100%; height: 188px; object-fit: cover; display: block; }
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.io-card-body { padding: 0.9rem 1rem 1rem 1rem; display: flex; flex-direction: column; gap: 0.45rem; flex: 1; }
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.io-section p, .io-section li { line-height: 1.5; font-size: 0.92rem; }
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.io-foot { opacity: 0.85; font-size: 0.88rem; }
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</style>
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<div class="io-hero">
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<p class="io-kicker">IO-AI Tech · 艾欧智能</p>
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<h2>Robotics & embodied AI data infrastructure</h2>
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<p>
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We build the hardware and software that collect real-world robot and human data for Physical AI.
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This org publishes open sample datasets from two product lines:
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<strong>TeleXperience</strong> (robot teleoperation) and
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<strong>SenseXperience</strong> (human egocentric & UMI capture).
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Both feed <a href="https://io-ai.tech/en/">EmbodiFlow</a> for alignment, review, and export to LeRobot / HDF5 / MCAP.
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</p>
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</div>
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<div class="io-grid">
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<div class="io-card">
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<img src="https://io-ai.tech/media/products/telexperience/telexperience-en.webp" alt="TeleXperience: general-purpose robot teleoperation system" />
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<div class="io-card-body">
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<div class="io-tag">All in, any out</div>
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<h3>TeleXperience</h3>
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<p>General-purpose robot teleoperation. A person wears VR + motion capture; the system maps that motion onto the robot and records a time-synced dataset.</p>
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<ul class="io-list">
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<li>80+ robot configs: humanoids, arms, high-DoF hands</li>
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<li>VR, mocap suit, and optional haptic / tactile gloves</li>
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<li>Native EmbodiFlow capture → annotation → training export</li>
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</ul>
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<div class="io-links">
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<a href="https://huggingface.co/collections/io-intelligence/telexperience-6a81c3b9e5a9701a56d7a5db">Open datasets</a>
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<a href="https://io-ai.tech/en/telexperience/">Product page</a>
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<a href="https://io-ai.tech/telexperience/en/docs/gen1/">Docs</a>
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</div>
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</div>
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</div>
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<div class="io-card">
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<img src="https://io-ai.tech/media/products/sensexperience-en.webp" alt="SenseXperience: real-world human-centric data collection" />
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<div class="io-card-body">
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<div class="io-tag">Baseline & custom</div>
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<h3>SenseXperience</h3>
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<p>Wearable hardware for high-quality human data: egocentric video, wrist cameras, UMI-style grippers, audio, and IMU — built for foundation models and world models.</p>
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<ul class="io-list">
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<li>Modular kit: ego unit, wrist unit, gripper, compute</li>
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<li>Extend with mocap and tactile gloves</li>
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<li>Post-process in EmbodiFlow (pose, gesture, export)</li>
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</ul>
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<div class="io-links">
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<a href="https://huggingface.co/collections/io-intelligence/sensexperience-6a41d3fe45bb5fc9e7c2e6ca">Open datasets</a>
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<a href="https://io-ai.tech/en/sensexperience/">Product page</a>
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</div>
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</div>
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</div>
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</div>
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<div class="io-section">
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<h3>Featured open data</h3>
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<ul>
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<li><a href="https://huggingface.co/datasets/io-intelligence/WipeTable_DualArxR5a_TeleXperience"><strong>WipeTable DualArxR5a</strong></a> — TeleXperience, LeRobot v3, dual-arm table wiping</li>
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<li><a href="https://huggingface.co/datasets/io-intelligence/FoldingTShirt_DualArxR5a_Samples"><strong>FoldingTShirt DualArxR5a</strong></a> — TeleXperience raw MCAP, T-shirt folding</li>
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<li><a href="https://huggingface.co/datasets/ICRA-WBCD/IO-AI-SenseXperience-UMI"><strong>SenseXperience UMI</strong></a> — ICRA workshop UMI human data</li>
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<li><a href="https://huggingface.co/datasets/io-intelligence/SenseXperience_WristCam_SampleData"><strong>WristCam Sample</strong></a> — SenseXperience raw MCAP, ego + wrist + head IMU</li>
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<li><a href="https://huggingface.co/datasets/io-intelligence/so101_stack_cups"><strong>SO-101 stack cups</strong></a> + <a href="https://huggingface.co/models/io-intelligence/smolvla_so101_stack_cups">SmolVLA policy</a></li>
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</ul>
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<p class="io-foot">
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Website: <a href="https://io-ai.tech/">io-ai.tech</a>
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· More robot-arm demos in LeRobot format:
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<a href="https://huggingface.co/datasets/io-intelligence/realman_aidal_desktop_cleanup">RealMan cleanup</a>,
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<a href="https://huggingface.co/datasets/io-intelligence/piper_uncap_pen">Piper uncap pen</a>,
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<a href="https://huggingface.co/datasets/io-intelligence/arx_pick_block">ARX pick block</a>.
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</p>
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</div>
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