每个产品都用AI持续回答：做什么、接入什么场景、采集什么数据、沉淀什么资产、如何支撑工业闭环。 Each product continuously answers with AI: what it does, what scenarios it connects, what data it captures, what assets it accumulates, how it supports industrial closed-loop.
多模态协同采集工具，覆盖视觉、力觉、本体感知、认知增强等维度Multimodal capture tools covering vision, force, proprioception, cognitive enhancement
新能源、自动驾驶、汽车智能化等多维仿真平台，覆盖MIL/SIL/HIL/BIL/VIL，Sim2Real、仿真等全链路Multi-dimensional simulation platforms for new energy, autonomous driving, automotive intelligence, covering MIL/SIL/HIL/BIL/VIL, Sim2Real, full-chain simulation
工业场景数据包、技能库、评测集，支撑 AI 训练与验证Industrial scenario data packs, skill libraries, evaluation sets supporting AI training and validation
EGO / DEX-UMI / FLEX-UMI 三件套，覆盖第一视角感知、灵巧手操作、跨本体遥操作三大采集场景，形成完整的多模态协同数据采集方案。EGO / DEX-UMI / FLEX-UMI trio, covering first-person perception, dexterous hand operation, and cross-embodiment teleoperation — forming a complete multimodal coordinated data capture solution.
多目相机阵列与激光对准，第一视角同步采集视觉、空间结构与人体动作轨迹。为机器人学习提供人类视角的场景理解数据。Multi-camera array with laser alignment captures first-person vision, spatial structure and human motion. Provides human-perspective scene understanding data for robot learning.
第一视角场景理解数据包 · 人体动作轨迹库 · 空间结构重建数据First-person scene understanding packs · Human motion trajectory library · Spatial structure reconstruction data
仿生灵巧手结构搭配腕部交互屏与力觉反馈，精准采集手部精细操作的多维度数据。专为工业装配、精密操作场景设计。Bionic dexterous hand structure with wrist display and haptic feedback, precisely capturing multi-dimensional data from fine hand operations. Designed for industrial assembly and precision operation scenarios.
灵巧手操作轨迹库 · 力-位-视觉融合数据包 · 精密装配技能库Dexterous hand trajectory library · Force-position-vision fusion packs · Precision assembly skill library
轻量手持本体，集成精密旋钮与力觉反馈，支持跨本体遥操作与现场即时采集。让数据采集不受场景限制，随时随地采集高质量示教数据。Lightweight handheld device with precision dial and haptic feedback supports cross-embodiment teleoperation and on-site capture. Enabling data collection anytime, anywhere without scene constraints.
跨本体示教轨迹 · 遥操作数据包 · 现场即时技能数据Cross-embodiment demonstration trajectories · Teleoperation data packs · On-site instant skill data
工业AI的数据引擎新范式。8年深耕新能源测试验证，已覆盖95%汽车主机厂。BMS/VCU/MCU HIL、EOL、年检与售后诊断系统等既是成熟商业产品，也是工业AI数据入口。MIL/SIL/HIL/BIL/VIL等在环测试系统，覆盖整车六大域及三电全工况验证。真实电化学状态采集，形成高质量训练数据。A new paradigm for Industrial AI data engines. 8 years deep in new energy testing & validation, covering 95% of automotive OEMs. BMS/VCU/MCU HIL, EOL, annual inspection and aftermarket diagnostics systems are both mature commercial products and Industrial AI data gateways. MIL/SIL/HIL/BIL/VIL in-the-loop testing systems cover full-condition verification of vehicle six domains and powertrain. Real electrochemical state capture forms high-quality training data.
BMS/VCU/MCU 硬件在环测试，覆盖三电系统全工况验证。真实电化学状态采集，形成高质量训练数据。BMS/VCU/MCU hardware-in-loop testing covering full-condition verification of powertrain systems. Real electrochemical state capture forming high-quality training data.
整车总装下线全项检测，覆盖三电系统、底盘、车身电子。每辆车的 EOL 数据都是 工业 AI 的训练素材。Full inspection of assembled vehicles, covering powertrain, chassis, body electronics. Each vehicle's EOL data is training material for Industrial AI.
覆盖新能源汽车全生命周期的年检与售后诊断，积累真实使用工况下的异常样本库。Full lifecycle annual inspection and aftermarket diagnostics for new energy vehicles, accumulating real-world anomaly sample libraries.
电池-电机-电控综合仿真，支持极端工况、边界条件、长尾异常的场景复现与策略验证。Battery-motor-controller integrated simulation supporting extreme conditions, boundary cases, and long-tail anomaly scenario replay and strategy validation.
从真实工业现场采集的高质量数据资产，经过 5D 管线处理后形成可直接用于模型训练的标准化数据产品。High-quality data assets captured from real industrial sites, processed through the 5D pipeline into standardized data products ready for model training.
特定工位的完整操作数据包，包含视觉、力觉、动作轨迹、工艺参数和质量结果。可直接用于机器人技能学习。Complete operation data packs for specific workstations, including vision, force, motion trajectories, process parameters and quality results. Ready for robot skill learning.
长尾异常、边界 case、失效模式的真实工况样本。覆盖新能源、汽车、工业制造等场景，是模型鲁棒性训练的核心资产。Real-world samples of long-tail anomalies, edge cases and failure modes. Covering new energy, automotive and industrial manufacturing — core assets for model robustness training.
工业原子技能的标准化数据包，包含抓取、插接、拧紧、检测等操作的完整轨迹与约束。支持 Cross-Embodiment 跨本体迁移。Standardized data packs for industrial atomic skills, including complete trajectories and constraints for grasping, insertion, tightening, inspection. Supports cross-embodiment transfer.
标准化的工业场景评测集，用于量化模型在真实工况下的能力。覆盖感知、决策、执行三个维度。Standardized industrial scenario evaluation sets for quantifying model capabilities in real conditions. Covering perception, decision-making and execution dimensions.
视觉-力觉-动作多模态同步数据包，记录操作者完整的感知与执行过程。是机器人学习人类技能的高价值训练素材。Synchronized vision-force-motion multimodal data packs recording the complete perception and execution process. High-value training material for robots learning human skills.
特定工艺流程的完整数字化模板，包含工位布局、操作序列、质量标准和异常处理流程。支持快速复制部署。Complete digital templates for specific process flows, including workstation layout, operation sequences, quality standards and anomaly handling. Supports rapid replication and deployment.
通过标准化 API 和平台服务，让第三方机器人厂商、工业企业和研究机构快速接入清研精准的数据资产和模型能力。Through standardized APIs and platform services, enabling third-party robot manufacturers, industrial enterprises and research institutions to quickly access Tsing Standard's data assets and model capabilities.
提供完整的数据采集方案，包括工装设计、设备部署、数据采集、质量控制和资产交付。按项目或按数据量计费。Complete data capture solutions including fixture design, equipment deployment, data capture, quality control and asset delivery. Billed per project or per data volume.
标准化 REST API，提供异常检测、状态识别、动作预测、技能调用等能力。支持云端和边缘部署，毫秒级响应。Standardized REST API providing anomaly detection, state recognition, action prediction, skill invocation capabilities. Supports cloud and edge deployment with millisecond response.
将现有数据资产迁移到新本体，包括运动学重定向、控制接口适配和迁移验证。大幅降低新本体的数据采集成本。Migrating existing data assets to new embodiments, including kinematic retargeting, control interface adaptation and transfer validation. Significantly reducing data collection costs for new embodiments.
使用标准化评测集对模型进行全面评估，提供量化报告和改进建议。支持在环测试、真机验证和仿真评测三种模式。Comprehensive model evaluation using standardized evaluation sets, providing quantitative reports and improvement recommendations. Supports in-the-loop testing, real-machine validation and simulation evaluation modes.
