Real-world capture, teleoperation, simulation, RLHF — brokered across vetted Chinese and APAC capacity. Single MSA. Compliance-routed. Money-back QA guarantee.
Every pilot produces the same three artifacts. Each is a standalone deliverable; together they let your team simulate, train, and ship a new policy on day one of the bundle landing.
Run simulation, evaluation, and policy testing before touching a real robot. Geometry, mass, and friction tuned to your actual environment so the sim and the real workcell agree.
Formats: URDF + MJCF + USDA · drop-in for Isaac Sim, Genesis, SAPIEN, MuJoCo
Real on-site demonstrations grown via jitter, time-stretch, pose-offset, and Blender re-rendering. Cross-gripper retargeted across Franka Panda, SO-100, Allegro Hand and four more so the dataset isn't locked to one embodiment.
Format: LeRobot v3 + Open X-Embodiment compatible · HuggingFace dataset card included
Load into your robotics stack and start evaluation immediately. Fine-tuned on your choice of backbone — OpenVLA-7B, π0, RT-X, Octo, RDT, or GR00T N1.7 — trained onshore and delivered onshore-only.
Format: HuggingFace PEFT · backbone choice at pilot kickoff
Every Teehoo pilot runs the same six-stage pipeline. Each stage emits an audit event into the bundle's hash chain. You can verify the chain after delivery with one CLI command.
Stage outputs and per-stage backend modes are visible inside every delivery's Honesty Matrix tab — REAL, MOCK (deterministic stub), or FIXTURE (bundled sample) per stage, with no hand-waving.
One Lane-1 demonstration retargets across the full gripper matrix — parallel-jaw to dexterous, 1 DoF to 24 DoF. Customers pay once, deploy across the fleet.
Quality + physical-consistency gated by ROPA framework (ICRA 2026) — contact / kinematic / rejection metrics per retarget. NaN propagation from occluded source frames is guarded; corrupt input does not silently corrupt downstream training data.
Three NVIDIA layers wired end-to-end through our pipeline — GR00T N1.7 for policy training, Cosmos Predict 2.5 for generative simulation, Isaac Sim 5.0 OpenUSD for runtime. Non-NVIDIA backbones (π0 · OpenVLA · RDT) equally first-class.
2 B-param Vision-Language-Action foundation model. LoRA finetuning over our PIECE 2 trajectory bundles. Customer-selectable in our training pipeline.
Text/image/video → physics-consistent simulation scenes. Synthetic augmentation amplifier on top of captive real teleop — 1:10 expansion law.
5-robot OpenUSD schema (Franka · SO-100 · Galbot · Unitree · Tesla Optimus). PIECE 1 emits USDA directly — drop-in to Isaac without conversion.
Three quantified metrics, every augment + retarget run. Threshold gating — caveats logged to PIPL audit chain when partial, batches under fail threshold are not delivered.
Gripper-to-object contact normal alignment + grasp closure validity. Computed per trial in physics replay.
Per-frame joint-limit / velocity / acceleration compliance against target robot URDF.
Trials failing either contact OR kinematic check, dropped from delivered batch. Counted against bundled trial count.
Reference framework: ROPA · Robotic Optimization Procedural Augmentation · ICRA 2026 · arxiv:2509.19454
Every operator action, every stage output, every retarget event signed and hash-chained. Customer regulators can re-verify with one shell command — no Teehoo access needed.
Two self-operated bases in Anhui + Jiangxi — not a brokered vendor pool. Data never leaves PRC at capture; PIPL § 38 cross-border path runs separately and audit-gated.
From real-world capture sites to synthetic simulation, Teehoo brokers a curated pool of vetted capacity partners across China and APAC — exposed to global AI labs through a single contract.
Industrial, residential, automotive, retail, hospitality — full-scenario data collection sites with rapid 14-day activation SOP.
Humanoid, dexterous, mobile manipulation — multi-modal capture (RGB-D, 6DoF, force-torque) at sub-mm precision.
PhD-tier expert cohort scoring for reasoning, agent trajectory review, sim-to-real verification — anchored by rubric calibration.
USD-format physical assets, sim-to-real pipelines compatible with NVIDIA Cosmos and Isaac Lab — bridge real-world gaps cost-effectively.
Standardized 2D/3D perception annotation, BEV, LiDAR point cloud, semantic segmentation — production-grade SLA.
Capacity contributed by certified partners across China and APAC. Every partner audited — operational SLA, data security posture, compliance attestation — before joining the pool.
Standardized site activation SOP from blank floor to first production batch in 14 days. Specializes in residential VR first-person capture, industrial scene collection, and automotive cabin data.
Vendor of teleoperation hardware systems for humanoid and dexterous manipulation, with companion data collection service. Includes high-precision tracking, force-torque sensing, and trajectory replay.
Production-scale 2D/3D perception annotation, BEV data labeling, LiDAR point cloud, lane and semantic segmentation. Self-developed annotation management platform, multi-language support, ISO-aligned QA workflow.
USD-format physical assets, sim-ready scene library, and synthetic data pipelines compatible with NVIDIA Cosmos and Isaac Lab. Bridges the sim-to-real gap with controllable physically-accurate scenarios.
VR + motion-capture rigs producing high-fidelity first-person video for imitation learning. National recruitment network across multiple cities; trained operators delivering 98%+ scene fidelity.
One MSA. One PM. One QA dashboard. Five capacity types orchestrated behind the scenes — exposed to you as a single throat to choke.
Data type, volume, geography constraints, customer entity, timeline. Plain English or technical spec — we accept both.
Routing matrix auto-eliminates incompatible suppliers (PII-sensitive data → never crosses to US labs without CAC approval). Audit log generated.
Supply pool subset ranked by capacity, price, prior performance. Vendor net price + Teehoo margin shown separately — no hidden fees.
Rapid-deployment partners activate in days. Milestone-based escrow. MCAP / LeRobot / OXE format output. QA money-back guarantee.
A 4×4 routing matrix maps data-origin cohort × customer geography to safe-harbor pathways. Hard-coded red lines. Per-project legal-review checklist. Audit log retained for every engagement.
China CAC data-export pathway · EU GDPR / SCC · US BIS export classification · jurisdiction-scoped engagements with audit-ready trails.
PII-sensitive China-collected real-world data never routes to US frontier labs without explicit CAC approval. Hard-coded in the matrix — not contractually promised, structurally blocked.
Contracts signed with FULLHOUSE ASSET Management LLC (California). APAC engagements optionally route through a Singapore Pte Ltd. Customer never holds a direct Chinese contracting relationship.
Per-project legal-review checklist auto-generated. Audit log exportable. Most customer counsels approve in a single review cycle.
One specific deliverable, your spec. We carry the supply-side risk because we've already vetted our capacity partners. If our QA delivery doesn't meet your written spec, you get a 100% refund within 7 days.
