CCIG International (Hong Kong) Sci-Tech innovation Service
Applied intelligence for research, robotics and AGI systems.面向科研、机器人与 AGI 系统的应用智能。
We help teams shape intelligent products, robotic systems and research programs from technical concept to publishable, partner-ready outcomes.我们协助团队将智能产品、机器人系统与科研项目从技术概念推进到可验证、可合作、可落地的成果。
Ask about services, contact or cooperation.可咨询服务、联系方式与合作流程。
Hello, I am the CCiG assistant. How can I help?你好,我是 CCiG 智能助手。想了解哪方面?
Contact联系方式
Email: ailab@ccig-hk.com. Phone: +853 68867855. You may also use the Contact page form.邮箱:ailab@ccig-hk.com。电话:+853 68867855。也可使用“联系”页面表单。
Services服务范围
AGI development, robotics R&D, scientific research support and scientific laboratory space and equipment services.AGI 开发、机器人研发、科学研究支持和科学实验空间及设备服务。
China Comprehensive Intelligence Group集智国际科技与研究服务
Mission使命
Translate intelligence research into useful systems, testable evidence and durable partnerships.将智能研究转化为有用系统、可测试证据与长期合作关系。
Preview edition. This section mirrors a research-institute hierarchy while keeping CCIG's own positioning and language.预览版内容。该模块参考研究机构网站的信息层级,同时保留 CCIG 自身定位与表达。
Key Questions核心问题
AGI通用人工智能
How can we define, measure, and systematically evaluate the boundary between narrow AI and general intelligence?我们如何定义、衡量并系统性地评估窄域人工智能与通用智能之间的边界?
To what extent can large-scale foundation models exhibit emergent reasoning, planning, and self-improvement capabilities that approximate AGI?大规模基础模型在多大程度上能展现出接近 AGI 的涌现推理、规划与自我改进能力?
Robotics机器人
How can embodied AI systems acquire, generalize, and transfer manipulation skills across diverse real-world environments?具身智能系统如何在多样化的真实环境中习得、泛化并迁移操作技能?
How can human-robot collaboration be made safer, more intuitive, and more adaptive in unstructured or human-occupied spaces?如何使人机协作在非结构化或有人类在场的环境中变得更安全、更直觉、更自适应?
Research Services科研服务
How can AI-driven tools accelerate the full research lifecycle, from hypothesis generation and experimental design to data analysis and interpretation?AI 驱动的工具如何加速从假设生成、实验设计到数据分析与结果解释的完整科研周期?
How can we build reliable, reproducible, and domain-adaptable AI infrastructure that serves interdisciplinary research teams at scale?我们如何构建可靠、可复现且跨领域适配的 AI 基础设施,以规模化服务跨学科科研团队?
Laboratory Space and Equipment科学实验空间及设备
How can shared experimental space and equipment support reliable testing for AI, robotics and interdisciplinary research?共享实验空间与设备如何支持 AI、机器人和跨学科研究中的可靠测试?
How can laboratory resources be organized so teams can move from concept verification to repeatable demonstrations?实验室资源如何被组织起来,帮助团队从概念验证走向可复现演示?
Latest News最新动态
Recent activity and institutional updates.近期活动与机构动态。
People shaping CCIG's research, engineering and laboratory service work.推动 CCIG 科研、工程与实验服务的团队。
CCIG
CCIG DirectorCCIG 负责人
Lab and company direction实验室与公司方向统筹
Responsible for strategic research positioning, interdisciplinary collaboration and the translation of intelligent systems into testable and partner-ready outcomes.负责科研定位、跨学科协作,以及将智能系统转化为可测试、可合作的阶段性成果。
Methods, evidence and experimental structure方法、证据与实验结构
Focuses on research question framing, experimental logic, literature positioning, testing architecture and partner-facing evidence chains.聚焦研究问题凝练、实验逻辑、文献定位、测试结构与面向合作方的证据链构建。
Develops agent workflows, knowledge tools, automation systems and evaluation-ready prototypes for research and enterprise scenarios.开发智能体流程、知识工具、自动化系统和面向科研与企业场景的可评估原型。
Works on multi-criteria decision-making, post-occupancy evaluation, healthy ageing, consumer behavior and urban built-environment studies. His research connects GIS, rough set analysis, SEM, regression and machine-learning methods with parks, restaurants, cultural perception and public-space quality.研究方向聚焦多准则决策、建成环境使用后评估、健康老龄化、消费者行为与城市环境研究,连接 GIS、粗糙集、结构方程、回归分析和机器学习方法,服务公园、餐厅、文化感知与公共空间质量研究。
Works across design research, environmental psychology, visual communication and computational decision analysis. His projects use Rough Set Theory, DANP, DEMATEL, SEM, machine learning and regression methods to study built-environment perception, public health communication and user behavior.研究方向连接设计研究、环境心理学、视觉传播与计算决策分析,运用粗糙集、DANP、DEMATEL、结构方程、机器学习和回归方法,研究建成环境感知、公共健康传播与用户行为。
Focuses on human-environment relations, environmental perception, urban planning, environmental design and urban sociology. Her work uses multi-criteria decision-making, NLP, SEM, DEMATEL and Q Method to study community environments, health-oriented built environments and urban cultural landscapes.研究方向聚焦人地关系、环境感知、城市规划、环境设计与城市社会学,运用多准则决策、自然语言处理、结构方程、DEMATEL 和 Q 方法,研究社区环境、健康导向建成环境与城市文化景观。
Works across design research, data analysis and user-experience studies, with interests in machine learning, multi-attribute decision making, design decision analytics, cultural-design research and environmental sustainability. Her work supports evidence-based interpretation of visual communication, built-environment perception and traditional culture innovation projects.研究方向连接设计研究、数据分析与用户体验,聚焦机器学习、多属性决策、设计决策分析、文化设计研究和环境可持续。其工作支持视觉传播、建成环境感知、传统文化创新等项目中的数据整理、证据分析与设计决策优化。
Works across visual communication, design planning, cultural heritage communication, exhibition identity and IP derivative design. His practice includes event key visuals, packaging systems, regional specialty promotion and on-site material implementation for cultural and commercial projects.工作方向聚焦视觉传达、设计策划、文化遗产传播、展陈识别与 IP 衍生设计,实践内容包括活动主视觉、包装系统、地方特产宣传和文化商业项目的现场物料落地。
Works across cultural heritage, user research, spatial art design and quantitative evaluation. Her research connects virtual heritage, human-computer interaction, embodied cognition, MADM/MCDM, Q Method, FDM, DANP and eye-tracking methods to evaluate user acceptance and interaction effectiveness.研究方向连接文化遗产、用户研究、空间艺术设计与量化评估,聚焦虚拟遗产、人机互动、具身认知、多准则决策、Q 方法、模糊德尔菲、DANP 与眼动追踪,用于评估用户接受度与互动有效性。
Works across urban governance, public health, consumer experience, tourism management and decision sciences. His research uses multi-criteria decision-making, natural language processing and decision optimization to study urban planning, healthy ageing, age-friendly spaces and social well-being.研究方向连接城市治理、公共卫生、消费者体验、旅游管理与决策科学,运用多准则决策、自然语言处理和决策优化方法,研究城市规划、健康老龄化、老年友好空间与社会福祉。
Works across interior design, restaurant authenticity evaluation, consumer experience and cultural-commercial spaces. Her research and practice use FDM, AHP, NLP, RST and DEMATEL to support evidence-based design, data analysis and AI-enabled commercial innovation workflows.研究与实践方向连接室内设计、餐厅原真性评估、消费者体验与文化商业空间,运用 FDM、AHP、NLP、RST 和 DEMATEL 支持循证设计、数据分析与 AI 赋能的商业创新流程。
Works across waterfront urban architecture, built-environment evaluation, urban planning and user experience. His research connects multi-attribute decision-making, machine learning, NLP, rough set theory, space syntax and GIS-based methods with nursing-home environments, perceived safety and affordance design.研究方向连接滨水都市建筑、建成环境评估、城市规划与用户体验,运用多属性决策、机器学习、NLP、粗糙集、空间句法和 GIS 方法,研究养老院环境、安全感知与可供性设计。
Works across post-occupancy evaluation of urban built environments, urban environment and mental health, virtual environments and player motivation. His practice connects design research, exhibition and community-space design, public health communication and multi-criteria evaluation.研究方向连接城市建成环境使用后评估、城市环境与心理健康、虚拟场景与玩家动机,实践内容涵盖设计研究、展陈与社区空间设计、公共卫生传播和多准则评估。
Works across machine learning, multi-attribute decision-making, urban green-space design, user behavior and digital-virtual tourist experience. Her research uses Rough Set Theory, AHP, FDM, EFA, VIKOR, Kano Model and Entropy Method for evidence-based design and cultural heritage tourism analysis.研究方向连接机器学习、多属性决策、城市绿地空间设计、用户行为与数字虚拟游客体验,运用粗糙集、AHP、FDM、EFA、VIKOR、Kano 和熵值法支持循证设计与文化遗产旅游分析。
Works across cultural governance, community resilience, community building, rural revitalization and participatory social design. Her research connects landscape governance, community capital and multi-attribute decision-making methods with sustainable local development and rural residents' intention to stay.研究方向连接文化治理、社区韧性、社区营造、乡村振兴与参与式社会设计,关注地景治理、社区资本和多属性决策方法如何支持地方可持续发展与居民留驻意愿。