高校实验室University labs
跨学科研究中引入具身智能,降低实验机器人使用门槛。Introduce embodied intelligence into interdisciplinary research, lowering the barrier for lab robotics.
让实验机器人理解科学任务、执行复杂操作,并在实验反馈中持续进化。Enable lab robots to understand scientific tasks, execute complex operations, and evolve through experiment feedback.
AI Lab Solution 面向需要将机器人从自动化执行设备升级为协作科学智能体的各类实验场景。For labs that need to upgrade robots from automation devices to collaborative scientific agents.
跨学科研究中引入具身智能,降低实验机器人使用门槛。Introduce embodied intelligence into interdisciplinary research, lowering the barrier for lab robotics.
在材料、化学、生物等领域实现长程实验自动化与数据闭环。Automate long-horizon experiments and close the data loop in materials, chemistry, and biology.
加速配方筛选、工艺优化和质检流程,沉淀研发知识资产。Accelerate formulation screening, process optimization, and QA workflows; build R&D knowledge assets.
在样本处理、药物筛选和高通量实验中实现标准化与可追溯。Standardize and trace sample handling, drug screening, and high-throughput experiments.
将具身操作能力接入 AI for Science 基础设施,补齐物理实验环节。Connect embodied operation capabilities to AI4S infrastructure, closing the physical experiment gap.
从定制化自动化走向智能化自主实验,降低系统集成和维护成本。Move from custom automation to intelligent autonomous experimentation, reducing integration and maintenance costs.
从样品操作到技能沉淀,AI Lab Solution 将"实验需求 → 任务拆解 → 执行 → 观察 → 纠偏 → 学习"形成完整闭环。From sample handling to skill accumulation, AI Lab Solution closes the full loop: experiment need → task decomposition → execution → observation → correction → learning.
样品瓶、微孔板、试管架的抓取、搬运与自动化上下料Grasp, transfer and automated loading of vials, microplates and tube racks
实验仪器开关、旋钮、按钮和触屏界面操作,器具智能分拣Operate instrument switches, knobs, buttons and touchscreens; intelligent tool sorting
试剂分装、耗材补给、废液处理,实验物料全流程追踪Reagent dispensing, consumable replenishment, waste handling, full material traceability
实验过程中的视觉观察、读数记录和阶段状态自动确认Visual observation, reading capture and automated stage confirmation during experiments
异常状态自动检测、安全暂停,通过人机交互完成纠偏并继续Auto-detect anomalies, safe pause, complete correction via human interaction and resume
实验操作技能数据采集、模型训练与跨实验台跨场景的复用Skill data capture, model training and cross-workstation cross-scenario reuse
从任务输入到动作执行,AI Lab Solution 在真实实验场景中的全链路演示。End-to-end demonstrations of AI Lab Solution in real experimental scenarios, from task input to action execution.
每个 Lingo 产品在 AI Lab 方案中承担明确的角色,通过 Dora 底座协同,形成从数据采集到模型部署的完整链路。Each Lingo product has a clear role in the AI Lab solution, coordinated through the Dora foundation to form a complete chain from data capture to model deployment.
AI Lab Solution 不是独立软件,而是围绕客户实验室实际条件组合交付的产品、模型与服务。AI Lab Solution is not standalone software — it is a combination of products, models, and services delivered around the customer's actual lab conditions.
现场评估实验室设备、流程和任务需求,制定分阶段部署计划与风险控制方案。On-site assessment of lab equipment, workflows, and task requirements; phased deployment planning and risk control.
Lingo Brain 模型嵌入 + Trace 硬件部署 + Data 平台搭建 + World 场景构建,端到端交付。Brain model embedding, Trace hardware deployment, Data platform setup, World scene construction — end-to-end delivery.
模型更新、技能包扩展、新任务适配、数据资产沉淀,形成长期合作伙伴关系。Model updates, skill pack expansion, new task adaptation, data asset accumulation — a long-term partnership.
无论是单台实验机器人还是整建制自主实验室,我们提供从评估到交付的完整方案。Whether a single lab robot or a full autonomous lab, we provide end-to-end solutions from assessment to delivery.